Radhika Baskar | SAVEETHA UNIVERSITY (original) (raw)

Papers by Radhika Baskar

Research paper thumbnail of Classification of Brain Tumor Images with Improved Accuracy Using KNN and Comparing with SVM

2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)

Research paper thumbnail of Design of Dual Band Bandpass Filter for Reduced Insertion Loss and Comparison with Ultra Wide Band Filter

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)

Research paper thumbnail of Prediction of Heart Disease Using Naive Bayes in Comparison with KNN Based on Accuracy

2022 International Conference on Cyber Resilience (ICCR)

Research paper thumbnail of Electronic notice board using IoT

INDUSTRIAL, MECHANICAL AND ELECTRICAL ENGINEERING

In current situation notice board is mandatory in all educational intuitions, public places, hosp... more In current situation notice board is mandatory in all educational intuitions, public places, hospitals and manufacturing organizations. Notice board is used to display the important information are send by higher officials in an organization. In traditional days a person was sticking messages on the notice board. It is very difficult task. To avoid such kind of problem digital wireless notice board is constructed and executed successfully using latest technologies. Using this system the higher authority people send the messages from their android devices such as smart phone or tablet. When the people send the messages from their own devices this will accept by the WIFI enabled modular device. Then the LCD device display the messages received from smart devices using IoT.As a result of the advanced and competitive world, the advertising industry has become more experimental, and as a result, marketers have chosen this path and implemented various initiatives to attract people's attention. Only those advertisements that stand out from the rest of the pack will be able to attract the public's attention.

Research paper thumbnail of Prediction of Heart Disease using Decision Tree in Comparison with KNN to Improve Accuracy

2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)

Research paper thumbnail of Modified Elliptic Curve Cryptography Multi-Signature Scheme to Enhance Security in Cryptocurrency

Computer Systems Science and Engineering

Internet of Things (IoT) is an emerging technology that moves the world in the direction of smart... more Internet of Things (IoT) is an emerging technology that moves the world in the direction of smart things. But, IoT security is the complex problem due to its centralized architecture, and limited capacity. So, blockchain technology has great attention due to its features of decentralized architecture, transparency, immutable records and cryptography hash functions when combining with IoT. Cryptography hash algorithms are very important in blockchain technology for secure transmission. It converts the variable size inputs to a fixed size hash output which is unchangeable. Existing cryptography hash algorithms with digital signature have issues of single node accessibility and accessed up to 128 bytes of key size only. As well as, if the attacker tries to hack the key, it cancels the transaction. This paper presents the Modified Elliptic Curve Cryptography Multi Signature Scheme (MECC-MSS) for multiple node accessibility by finding nearest path for secure transaction. In this work, the input key size can be extended up to 512 bytes to enhance the security. The performance of the proposed algorithm is analyzed with other cryptography hash algorithms like Secure Hashing Algorithms (SHAs) such as SHA224, SHA256, SHA384, SHA512, SHA3-224, SHA3-256, SHA3-384, SHA3-512 and Message Digest5 by one-way analysis of variance test in terms of accuracy and time complexity. Results show that the MECC-MSS achieves 90.85% of accuracy and time complexity of 1.4 nano seconds with significance less than 0.05. From the statistical analysis, it is observed that the proposed algorithm is significantly better than other cryptography hash algorithms and also having less time complexity.

Research paper thumbnail of Efficient Resource Allocation Using Multilayer Neural Network in Cloud Environment

Sensor Data Analysis and Management, 2021

Research paper thumbnail of A Certain Investigation of Nanomaterial-Based Li-Ion Batteries for Electrical Vehicles

Journal of Nanomaterials

Nowadays, the transports vehicles are required improvement or alternative source for fuel require... more Nowadays, the transports vehicles are required improvement or alternative source for fuel requirement, because of fuel shortage and reducing the global warming. Due to this reason, the electrical vehicle is more concentrated now. The electrical vehicle reduces the carbon emission and reduces the global warming. The main drawback for electrical vehicle is charging time and battery size. To overcome this problem, we use nanomaterial using batteries (like Li-ion battery and Li-based batteries). The nanomaterial particles increase the performance and storage battery capacity and reduce the size of the batteries.

Research paper thumbnail of A Novel LC-DEH Algorithm to Enhance Efficiency and Security for Reliable Data Transmission in Blockchain with IoT-Based Healthcare Systems

Reinvention of Health Applications with IoT, Feb 8, 2022

Research paper thumbnail of Node Attribute Behavior Based Intrusion Detection in Sensor Networks

Abstract-- Security is one of the important problem in wireless sensor networks. With limited ene... more Abstract-- Security is one of the important problem in wireless sensor networks. With limited energy resources and processing resources, this paper focus on node attribute behavior based anomaly detection system and deals only with attributes of layered sensor node. It introduces node attribute behavioral index. The detection uses genetic algorithm which evaluates the behavior of sensor node with node attributes and threshold technique have been used to detect abnormal behavior of sensor node based on behavioral index. The performance has been evaluated for MAC and network layer feature set of wireless nodes.

Research paper thumbnail of VLSI Based Architecture in ECG Monitoring for Adaptive Power Management In Wireless Bio Signal Acquisition Network

Journal of Physics: Conference Series

For the diagnosis and elimination of cardiovascular diseases, the ECG system has evolved as smart... more For the diagnosis and elimination of cardiovascular diseases, the ECG system has evolved as smarter healthcare professionals. As almost all of these networks are battery-operated, the whole device’s total life is greatly shortened by self-centred communication connections. This paper will present a power control technique and the accompanying VLSI design to improve the Asic ECG heart monitor’s lifespan powered by the battery. The suggested power control strategy dynamically adjusts between two transmission modes, i.e. high performance / lower energy modes, available for a device’s energy level. Because localized storage is energy, for true monitoring of QRS complexity and breathing rates assessment, a streamlined methodology focusing on slopes improvement with runtime adaptive thresholding is intended to guarantee maximum energy usage throughout limited energy level. The required communication mode is chosen based mostly on batteries and pulse rate consistency, which essentially ful...

Research paper thumbnail of A Real Time Gas Monitoring Systema Survey

The main aim of this paper is to survey the different kinds of gas monitoring systems implemented... more The main aim of this paper is to survey the different kinds of gas monitoring systems implemented in various applications to prevent from dangers. The gas monitoring system is based on both wired and wireless sensor technology. Leakage of gases may cause fatal fire accidents and hazardous condition is the major issue nowadays. The leakage of every gas is monitored through gas monitoring system to avoid such condition. This type of monitoring system can be helpful in hospitals, homes, hotels and many commercial places.

Research paper thumbnail of Cluster Head Based Intrusion Detection System for Black Hole Attacks in Wireless Ad Hoc Networks using 2 Level Fuzzy Logic System

Ad hoc networks are autonomous and infrastructure-less wireless systems where nodes act as router... more Ad hoc networks are autonomous and infrastructure-less wireless systems where nodes act as routers and hosts. Security is the primary issue for the functionality of these networks. Security for ad hoc networks can be incorporated by prevention and detection mechanisms. This research work focuses on a two-level fuzzy-based intrusion detection system for identifying black hole attacks in ad hoc networks. This method can reduce the complexity of the rule base of the fuzzy inference system. To reduce the complexity of detection, communication overhead and to make the detection scheme energy efficient, further, a cluster-head-based intrusion detection system is designed and implemented. The impact on network performance with no attack, with black hole attack, and with intrusion detection scheme deployed in all nodes and cluster heads are analyzed. The proposed cluster-based 2 level fuzzy logic intrusion detection mechanism was able to achieve the detection rate and accuracy to a maximum of 100%,false alarm rate to 0% and detection delay to in varying attacker scenario.

Research paper thumbnail of Classification of FPGA Based Network Traffic Using Machine Learning

Journal of Physics: Conference Series

To successfully control infrastructure, the actual identification of internet activity is importa... more To successfully control infrastructure, the actual identification of internet activity is important. Including faster response times, classifiers automated segmentation strategies have demonstrated favourable performance. Throughout this document, utilizing regression analysis and decision tree features collection, the box and hydraulic model’s appropriateness is checked. Besides, the appropriate number of shipments found in a flow when obtaining flow-level characteristics is calculated by the tests conducted, showing that 46% of movement packages are a reasonable balance that guarantees high efficiency in the minimum time consumed. The tests’ findings show that randomized forests outperform other architectures with a peak precision of 35%. However, since software-driven classification algorithms do not fulfil the expected real-time specifications, we propose a statistical learning device based on the Field-Programmable Gate Array (FPGA) that uses an incredibly parallel architecture...

Research paper thumbnail of Detection Methods of Sybil Attack in Wireless Sensor Networks

Wireless sensor networks are one of the real issues; consequently, inquire about is being done on... more Wireless sensor networks are one of the real issues; consequently, inquire about is being done on many directing attacks on wireless sensor networks. This paper concentrates on Sybil attacks and its identification. At the point when a node misguidedly guarantees numerous identities or cases counterfeit id, is called Sybil attack. In this attack, a node misguidedly attests various characters and procures numerous identities and executes as the first node causing upsets in directing, voting, data aggregation and Fare resource allocation. A Sybil attack is proposed to identify the new characters of Sybil nodes without utilizing concentrated trusted outsider and our plan uses Received signal strength, throughput, packet delivery ratio to separate between the genuine and Sybil identities.

Research paper thumbnail of Solar Cells by Chemically Doping Graphene

Graphene has been utilized as straightforward cathodes in natural organic solar cells (OSCs) due ... more Graphene has been utilized as straightforward cathodes in natural organic solar cells (OSCs) due to its great physical and optical properties. Nonetheless, the electrical conductivity of graphene films combined by substance vapor testimony chemical vapor deposition (CVD) is still mediocre compared to that of routine indium tin oxide (ITO) cathodes of tantamount straightforwardness, bringing about a lower execution of OSCs. Here, we report an effective technique to enhance the execution and long haul dependability of graphene-based OSCs utilizing electrostatically doped graphene films by means of a ferroelectric polymer. The sheet resistance of electrostatically doped few layer graphene films was decreased to ∼70ω/sq. at 87% optical transmittance. Such graphene-based OSCs display an efficiency of 2.07% with a better security when looked at than artificially doped grapheme based OSCs. Moreover, OSCs built on ultrathin ferroelectric film as a substrate of just a couple of miniaturized scale meters demonstrate amazingly great mechanical flexibility and strength and can be moved up into a chamber.

Research paper thumbnail of Design of Wireless Sensor Network Gateway for the Internet of Things

Millions of devices are expected to be connected to internet with in few years. The major problem... more Millions of devices are expected to be connected to internet with in few years. The major problems in accomplishing the vision of Internet of Things(IoT) is the incompatibility of devices and proprietary protocols. Hence advanced prototyping is required to meet the needs of IoT. In this project,a wireless sensor network gateway based on Raspberry PI single-board computeris developed. This novel WSN gateway designed with sensible and low cost off the shelf componentscan be used in IoT in an open and customisable manner. The gateway is designed using like ZigBee, Wi-Fi and Bluetooth ensuring a rapid turnaround time and modular implementation that could easily be adapted for varying deployment use-cases without the limitations of a completely proprietary system.

Research paper thumbnail of A Survey on Internet of Things: Applications, Recent Issues, Attacks, and Security Mechanisms

Journal of Circuits, Systems and Computers

The Internet of Things (IoT) is a series of recording devices, mechanical and automated machines,... more The Internet of Things (IoT) is a series of recording devices, mechanical and automated machines, documents, creatures, or individuals that have one of the user identifiers and the ability to substitute information over a network without requiring human-to-human connections. The IoT technology is used in different applications to transfer information between two or more stations or devices using actuators/sensors. The IoT has many fields of application, including smart home, healthcare, transport and logistics, and industry. Each application gives highlights and important and explicit administrations. This paper provides an overview of IoT applications, discussing their current problems and potential challenges. In addition, it focuses on issues and challenges that arise for future IoT systems including enormous scaling, planning and needs, generating information and big data, strength, frankness, resource management, privacy, and security. The secure data transformation is more pro...

Research paper thumbnail of Performance Evaluation of MANETS under Black Hole Attack for Different Network Scenarios

Indian Journal of Science and Technology, 2015

Background/Objectives: Mobile Adhoc Networks (MANETS) are prone to different types of attacks due... more Background/Objectives: Mobile Adhoc Networks (MANETS) are prone to different types of attacks due to lack of central monitoring facility. The objective is to investigate the effect of black hole attack on the network layer of MANET for different network scenarios. Method: A black hole attack is a network layer attack which utilizes the destination sequence number to claim that it has a fresh and a shortest path to the destination and consumes all the packets forwarded by the source. The various network scenarios of MANETS with AODV routing protocol are simulated using Network Simulator Version 2 (NS- 2) to analyse the performance with and without the black hole attack. The scenarios are created by varying the number of nodes and nodes speed, varying position and number of the black hole nodes and number of flows. The performance parameters like PDR, delay, throughput, packet drop and control overhead are measured. Findings: The black hole attack degrades the network performance. The impact of attack is severe when the attacker is near to the source node, less severe when it is in midway between source and destination and has least effect when it is farther from the source. The overall throughput and PDR increases with the number of flows but reduces with the attack. With the increase in the black hole attackers, the PDR and throughput reduces and close to zero as the number of black hole nodes are maximum. The packet drop also increases with the attack. The overall delay factor varies based on the position of the attackers. Throughput, PDR and control overhead decreases with the network size due to congestion and average delay reduces with black hole attack as the black node sends the Route ERRor (RREP) without performing any route checking. As the mobility varies, the delay and packet drop increases but PDR and throughput decreases as the nodes moves randomly in all directions. Conclusion: The simulation results gives a very good comparison of performance of MANETS with and with out black hole attack for different network scenarios.

Research paper thumbnail of Performance Metrics of Wormhole Detection using Path Tracing Algorithm

Indian Journal of Science and Technology, 2015

Objective: Mobile Adhoc Networks contains set of mobile nodes does not have a fixed structure. It... more Objective: Mobile Adhoc Networks contains set of mobile nodes does not have a fixed structure. It is very important to protect the network secure. The main aim of the paper is to protect the network from worm hole attack using path tracing algorithm with the advancement of aodv and compare the performance parameters. Methods: We propose path tracing algorithm for detection of worm hole attack as a extension of aodv protocols the path of the node effectively computes the per hop distance of its neighbor node with per hop distance of the previous node to identify the worm hole attack. NS2 simulator is used to compare the performance parameters of the worm hole attack. Conclusions: Simulated parameters like packet delivery ratio, delay, and packet loss with attacker and without attacker are done and the detection ratio is identified.

Research paper thumbnail of Classification of Brain Tumor Images with Improved Accuracy Using KNN and Comparing with SVM

2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)

Research paper thumbnail of Design of Dual Band Bandpass Filter for Reduced Insertion Loss and Comparison with Ultra Wide Band Filter

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)

Research paper thumbnail of Prediction of Heart Disease Using Naive Bayes in Comparison with KNN Based on Accuracy

2022 International Conference on Cyber Resilience (ICCR)

Research paper thumbnail of Electronic notice board using IoT

INDUSTRIAL, MECHANICAL AND ELECTRICAL ENGINEERING

In current situation notice board is mandatory in all educational intuitions, public places, hosp... more In current situation notice board is mandatory in all educational intuitions, public places, hospitals and manufacturing organizations. Notice board is used to display the important information are send by higher officials in an organization. In traditional days a person was sticking messages on the notice board. It is very difficult task. To avoid such kind of problem digital wireless notice board is constructed and executed successfully using latest technologies. Using this system the higher authority people send the messages from their android devices such as smart phone or tablet. When the people send the messages from their own devices this will accept by the WIFI enabled modular device. Then the LCD device display the messages received from smart devices using IoT.As a result of the advanced and competitive world, the advertising industry has become more experimental, and as a result, marketers have chosen this path and implemented various initiatives to attract people's attention. Only those advertisements that stand out from the rest of the pack will be able to attract the public's attention.

Research paper thumbnail of Prediction of Heart Disease using Decision Tree in Comparison with KNN to Improve Accuracy

2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)

Research paper thumbnail of Modified Elliptic Curve Cryptography Multi-Signature Scheme to Enhance Security in Cryptocurrency

Computer Systems Science and Engineering

Internet of Things (IoT) is an emerging technology that moves the world in the direction of smart... more Internet of Things (IoT) is an emerging technology that moves the world in the direction of smart things. But, IoT security is the complex problem due to its centralized architecture, and limited capacity. So, blockchain technology has great attention due to its features of decentralized architecture, transparency, immutable records and cryptography hash functions when combining with IoT. Cryptography hash algorithms are very important in blockchain technology for secure transmission. It converts the variable size inputs to a fixed size hash output which is unchangeable. Existing cryptography hash algorithms with digital signature have issues of single node accessibility and accessed up to 128 bytes of key size only. As well as, if the attacker tries to hack the key, it cancels the transaction. This paper presents the Modified Elliptic Curve Cryptography Multi Signature Scheme (MECC-MSS) for multiple node accessibility by finding nearest path for secure transaction. In this work, the input key size can be extended up to 512 bytes to enhance the security. The performance of the proposed algorithm is analyzed with other cryptography hash algorithms like Secure Hashing Algorithms (SHAs) such as SHA224, SHA256, SHA384, SHA512, SHA3-224, SHA3-256, SHA3-384, SHA3-512 and Message Digest5 by one-way analysis of variance test in terms of accuracy and time complexity. Results show that the MECC-MSS achieves 90.85% of accuracy and time complexity of 1.4 nano seconds with significance less than 0.05. From the statistical analysis, it is observed that the proposed algorithm is significantly better than other cryptography hash algorithms and also having less time complexity.

Research paper thumbnail of Efficient Resource Allocation Using Multilayer Neural Network in Cloud Environment

Sensor Data Analysis and Management, 2021

Research paper thumbnail of A Certain Investigation of Nanomaterial-Based Li-Ion Batteries for Electrical Vehicles

Journal of Nanomaterials

Nowadays, the transports vehicles are required improvement or alternative source for fuel require... more Nowadays, the transports vehicles are required improvement or alternative source for fuel requirement, because of fuel shortage and reducing the global warming. Due to this reason, the electrical vehicle is more concentrated now. The electrical vehicle reduces the carbon emission and reduces the global warming. The main drawback for electrical vehicle is charging time and battery size. To overcome this problem, we use nanomaterial using batteries (like Li-ion battery and Li-based batteries). The nanomaterial particles increase the performance and storage battery capacity and reduce the size of the batteries.

Research paper thumbnail of A Novel LC-DEH Algorithm to Enhance Efficiency and Security for Reliable Data Transmission in Blockchain with IoT-Based Healthcare Systems

Reinvention of Health Applications with IoT, Feb 8, 2022

Research paper thumbnail of Node Attribute Behavior Based Intrusion Detection in Sensor Networks

Abstract-- Security is one of the important problem in wireless sensor networks. With limited ene... more Abstract-- Security is one of the important problem in wireless sensor networks. With limited energy resources and processing resources, this paper focus on node attribute behavior based anomaly detection system and deals only with attributes of layered sensor node. It introduces node attribute behavioral index. The detection uses genetic algorithm which evaluates the behavior of sensor node with node attributes and threshold technique have been used to detect abnormal behavior of sensor node based on behavioral index. The performance has been evaluated for MAC and network layer feature set of wireless nodes.

Research paper thumbnail of VLSI Based Architecture in ECG Monitoring for Adaptive Power Management In Wireless Bio Signal Acquisition Network

Journal of Physics: Conference Series

For the diagnosis and elimination of cardiovascular diseases, the ECG system has evolved as smart... more For the diagnosis and elimination of cardiovascular diseases, the ECG system has evolved as smarter healthcare professionals. As almost all of these networks are battery-operated, the whole device’s total life is greatly shortened by self-centred communication connections. This paper will present a power control technique and the accompanying VLSI design to improve the Asic ECG heart monitor’s lifespan powered by the battery. The suggested power control strategy dynamically adjusts between two transmission modes, i.e. high performance / lower energy modes, available for a device’s energy level. Because localized storage is energy, for true monitoring of QRS complexity and breathing rates assessment, a streamlined methodology focusing on slopes improvement with runtime adaptive thresholding is intended to guarantee maximum energy usage throughout limited energy level. The required communication mode is chosen based mostly on batteries and pulse rate consistency, which essentially ful...

Research paper thumbnail of A Real Time Gas Monitoring Systema Survey

The main aim of this paper is to survey the different kinds of gas monitoring systems implemented... more The main aim of this paper is to survey the different kinds of gas monitoring systems implemented in various applications to prevent from dangers. The gas monitoring system is based on both wired and wireless sensor technology. Leakage of gases may cause fatal fire accidents and hazardous condition is the major issue nowadays. The leakage of every gas is monitored through gas monitoring system to avoid such condition. This type of monitoring system can be helpful in hospitals, homes, hotels and many commercial places.

Research paper thumbnail of Cluster Head Based Intrusion Detection System for Black Hole Attacks in Wireless Ad Hoc Networks using 2 Level Fuzzy Logic System

Ad hoc networks are autonomous and infrastructure-less wireless systems where nodes act as router... more Ad hoc networks are autonomous and infrastructure-less wireless systems where nodes act as routers and hosts. Security is the primary issue for the functionality of these networks. Security for ad hoc networks can be incorporated by prevention and detection mechanisms. This research work focuses on a two-level fuzzy-based intrusion detection system for identifying black hole attacks in ad hoc networks. This method can reduce the complexity of the rule base of the fuzzy inference system. To reduce the complexity of detection, communication overhead and to make the detection scheme energy efficient, further, a cluster-head-based intrusion detection system is designed and implemented. The impact on network performance with no attack, with black hole attack, and with intrusion detection scheme deployed in all nodes and cluster heads are analyzed. The proposed cluster-based 2 level fuzzy logic intrusion detection mechanism was able to achieve the detection rate and accuracy to a maximum of 100%,false alarm rate to 0% and detection delay to in varying attacker scenario.

Research paper thumbnail of Classification of FPGA Based Network Traffic Using Machine Learning

Journal of Physics: Conference Series

To successfully control infrastructure, the actual identification of internet activity is importa... more To successfully control infrastructure, the actual identification of internet activity is important. Including faster response times, classifiers automated segmentation strategies have demonstrated favourable performance. Throughout this document, utilizing regression analysis and decision tree features collection, the box and hydraulic model’s appropriateness is checked. Besides, the appropriate number of shipments found in a flow when obtaining flow-level characteristics is calculated by the tests conducted, showing that 46% of movement packages are a reasonable balance that guarantees high efficiency in the minimum time consumed. The tests’ findings show that randomized forests outperform other architectures with a peak precision of 35%. However, since software-driven classification algorithms do not fulfil the expected real-time specifications, we propose a statistical learning device based on the Field-Programmable Gate Array (FPGA) that uses an incredibly parallel architecture...

Research paper thumbnail of Detection Methods of Sybil Attack in Wireless Sensor Networks

Wireless sensor networks are one of the real issues; consequently, inquire about is being done on... more Wireless sensor networks are one of the real issues; consequently, inquire about is being done on many directing attacks on wireless sensor networks. This paper concentrates on Sybil attacks and its identification. At the point when a node misguidedly guarantees numerous identities or cases counterfeit id, is called Sybil attack. In this attack, a node misguidedly attests various characters and procures numerous identities and executes as the first node causing upsets in directing, voting, data aggregation and Fare resource allocation. A Sybil attack is proposed to identify the new characters of Sybil nodes without utilizing concentrated trusted outsider and our plan uses Received signal strength, throughput, packet delivery ratio to separate between the genuine and Sybil identities.

Research paper thumbnail of Solar Cells by Chemically Doping Graphene

Graphene has been utilized as straightforward cathodes in natural organic solar cells (OSCs) due ... more Graphene has been utilized as straightforward cathodes in natural organic solar cells (OSCs) due to its great physical and optical properties. Nonetheless, the electrical conductivity of graphene films combined by substance vapor testimony chemical vapor deposition (CVD) is still mediocre compared to that of routine indium tin oxide (ITO) cathodes of tantamount straightforwardness, bringing about a lower execution of OSCs. Here, we report an effective technique to enhance the execution and long haul dependability of graphene-based OSCs utilizing electrostatically doped graphene films by means of a ferroelectric polymer. The sheet resistance of electrostatically doped few layer graphene films was decreased to ∼70ω/sq. at 87% optical transmittance. Such graphene-based OSCs display an efficiency of 2.07% with a better security when looked at than artificially doped grapheme based OSCs. Moreover, OSCs built on ultrathin ferroelectric film as a substrate of just a couple of miniaturized scale meters demonstrate amazingly great mechanical flexibility and strength and can be moved up into a chamber.

Research paper thumbnail of Design of Wireless Sensor Network Gateway for the Internet of Things

Millions of devices are expected to be connected to internet with in few years. The major problem... more Millions of devices are expected to be connected to internet with in few years. The major problems in accomplishing the vision of Internet of Things(IoT) is the incompatibility of devices and proprietary protocols. Hence advanced prototyping is required to meet the needs of IoT. In this project,a wireless sensor network gateway based on Raspberry PI single-board computeris developed. This novel WSN gateway designed with sensible and low cost off the shelf componentscan be used in IoT in an open and customisable manner. The gateway is designed using like ZigBee, Wi-Fi and Bluetooth ensuring a rapid turnaround time and modular implementation that could easily be adapted for varying deployment use-cases without the limitations of a completely proprietary system.

Research paper thumbnail of A Survey on Internet of Things: Applications, Recent Issues, Attacks, and Security Mechanisms

Journal of Circuits, Systems and Computers

The Internet of Things (IoT) is a series of recording devices, mechanical and automated machines,... more The Internet of Things (IoT) is a series of recording devices, mechanical and automated machines, documents, creatures, or individuals that have one of the user identifiers and the ability to substitute information over a network without requiring human-to-human connections. The IoT technology is used in different applications to transfer information between two or more stations or devices using actuators/sensors. The IoT has many fields of application, including smart home, healthcare, transport and logistics, and industry. Each application gives highlights and important and explicit administrations. This paper provides an overview of IoT applications, discussing their current problems and potential challenges. In addition, it focuses on issues and challenges that arise for future IoT systems including enormous scaling, planning and needs, generating information and big data, strength, frankness, resource management, privacy, and security. The secure data transformation is more pro...

Research paper thumbnail of Performance Evaluation of MANETS under Black Hole Attack for Different Network Scenarios

Indian Journal of Science and Technology, 2015

Background/Objectives: Mobile Adhoc Networks (MANETS) are prone to different types of attacks due... more Background/Objectives: Mobile Adhoc Networks (MANETS) are prone to different types of attacks due to lack of central monitoring facility. The objective is to investigate the effect of black hole attack on the network layer of MANET for different network scenarios. Method: A black hole attack is a network layer attack which utilizes the destination sequence number to claim that it has a fresh and a shortest path to the destination and consumes all the packets forwarded by the source. The various network scenarios of MANETS with AODV routing protocol are simulated using Network Simulator Version 2 (NS- 2) to analyse the performance with and without the black hole attack. The scenarios are created by varying the number of nodes and nodes speed, varying position and number of the black hole nodes and number of flows. The performance parameters like PDR, delay, throughput, packet drop and control overhead are measured. Findings: The black hole attack degrades the network performance. The impact of attack is severe when the attacker is near to the source node, less severe when it is in midway between source and destination and has least effect when it is farther from the source. The overall throughput and PDR increases with the number of flows but reduces with the attack. With the increase in the black hole attackers, the PDR and throughput reduces and close to zero as the number of black hole nodes are maximum. The packet drop also increases with the attack. The overall delay factor varies based on the position of the attackers. Throughput, PDR and control overhead decreases with the network size due to congestion and average delay reduces with black hole attack as the black node sends the Route ERRor (RREP) without performing any route checking. As the mobility varies, the delay and packet drop increases but PDR and throughput decreases as the nodes moves randomly in all directions. Conclusion: The simulation results gives a very good comparison of performance of MANETS with and with out black hole attack for different network scenarios.

Research paper thumbnail of Performance Metrics of Wormhole Detection using Path Tracing Algorithm

Indian Journal of Science and Technology, 2015

Objective: Mobile Adhoc Networks contains set of mobile nodes does not have a fixed structure. It... more Objective: Mobile Adhoc Networks contains set of mobile nodes does not have a fixed structure. It is very important to protect the network secure. The main aim of the paper is to protect the network from worm hole attack using path tracing algorithm with the advancement of aodv and compare the performance parameters. Methods: We propose path tracing algorithm for detection of worm hole attack as a extension of aodv protocols the path of the node effectively computes the per hop distance of its neighbor node with per hop distance of the previous node to identify the worm hole attack. NS2 simulator is used to compare the performance parameters of the worm hole attack. Conclusions: Simulated parameters like packet delivery ratio, delay, and packet loss with attacker and without attacker are done and the detection ratio is identified.