Call for Papers-Special Session: Applications of Artificial Intelligence in IoT Security, 1st International Conference On Communication, Security And Artificial Intelligence (ICCSAI-2022),Greater Noida, NCR, New Delhi, India, December 23 to 24, 2022 (original) (raw)
Related papers
Internet of Things: Effective Security View through Artificial Intelligence
The scenario of intelligence systems is rapidly changing with the human participation taking over the intelligent services. Internet of Things (IOT) plays a vital role during these changes as it is an innovative and growing technology which connects objects of real world to the virtual world enabling anytime-anyplace connectivity for anything. IOT is a technology in which physical objects, people, devices, vehicles etc. are connected to each other and can exchange data over a network. In IOT the human to computer interaction is not mandatory as the system itself interacts with the user. This in turn helps in increasing communications between people and things. It can enhance the fundamental services of transportation, security, education, banking, healthcare, logistics, and other areas. Recently in many surveys it is found that IOT and its related components are highly vulnerable to security threats. In this paper we have proposed Artificial intelligence (AI) concepts as a way to overcome the security loopholes in IOT. AI gives rise to significant applications which enables the transmission of data in IoT environment. But AI end user applications are also vulnerable to security breaches. We have also thrown light on the security aspects of IoT devices using artificial intelligence enabled mode of transmission.
This session aims to target young researchers (TYR) to enhance the research in Applications of Artificial Intelligence and Internet of Things to bring out the real life importance of Computational Intelligence to the society and the world. The TYR are Students in diverse countries, Practitioners, Professionals, Scientists, Industrialists, and Engineers-Researchers of various sectors. The session will give an appropriate solution for Applications of Artificial Intelligence (AAI) Experts to device monitoring, security, daily routine management, home automation which helps in taking real-life crucial decisions. The role of artificial intelligence and internet of things is changing the lifestyle of human beings and the way in which objects are linked to real world using available interfaces and various communication technologies. The drastic evolution of Artificial Intelligence and Internet of Things has transformed into a network of interconnected devices to collect data from real world. The Devices interconnect with other counterparts using novel internet protocols and standards and provide Computational Intelligence based solutions to develop and deploy AI-IOT. Through Systematic incorporation of Artificial Intelligence and Internet of Things in Real Life Sciences, noteworthy algorithms like Artificial Fish Swarm Intelligence on IoT, Hybrid Intelligence on IoT, Approximation and Classification Algorithms help domain experts to learn practical studies and its challenges of unbiased and rigorous evidences in Artificial Intelligence, and Internet of Things..
Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence
Brain Sciences
The Internet of Things (IoT) is a well-known technology that has a significant impact on many areas, including connections, work, healthcare, and the economy. IoT has the potential to improve life in a variety of contexts, from smart cities to classrooms, by automating tasks, increasing output, and decreasing anxiety. Cyberattacks and threats, on the other hand, have a significant impact on intelligent IoT applications. Many traditional techniques for protecting the IoT are now ineffective due to new dangers and vulnerabilities. To keep their security procedures, IoT systems of the future will need AI-efficient machine learning and deep learning. The capabilities of artificial intelligence, particularly machine and deep learning solutions, must be used if the next-generation IoT system is to have a continuously changing and up-to-date security system. IoT security intelligence is examined in this paper from every angle available. An innovative method for protecting IoT devices again...
Artificial Intelligence approaches for IoT Security: State of Art
With an estimation of more than 35 billion interconnected smart devices by the end of 2021, Internet of Things (IoT) is one of the most rapidly growing technologies in the last decade. However, the complexity nature of IoT systems and the exponential amount of data collected and exchanged between Things relieve a big challenge in terms of security and privacy. Implementing classical security measures, such as encryption, authentication, access control, network and application security for IoT devices is no more effective against sophisticated Cyberattacks. Artificial intelligence (AI) approaches such as Machine Learning (ML), Deep Learning (DL) and Blockchain can be leveraged to enhance the security of IoT and deal with its various problems. In this paper, we will describe the IoT technology and its domain of application, the protocols used to communicate between smart devices, security issues and existing AI solution. I.
ICTACS-2022, 2022
This session aims to target young researchers (TYR) to enhance the research in Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies to bring out the real life importance of Computational Sciences to the society and the world. The TYR are Students in diverse countries, Practitioners, Professionals, Scientists, Industrialists, and Engineers-Researchers of various sectors. The session will give an appropriate solution for Applications of Artificial Intelligence (AAI) Experts to device monitoring, security, daily routine management, home automation which helps in taking real-life crucial decisions. The role of artificial intelligence, internet of things and various new cutting edge technologies is changing the lifestyle of human beings and the way in which objects are linked to real world using available interfaces and various communication technologies. The drastic evolution of Artificial Intelligence and Internet of Things has transformed into a network of interconnected devices to collect data from real world. The Devices interconnect with other counterparts using novel internet protocols and standards and provide Computational Intelligence based solutions to develop and deploy AI-IOT..
A case study on conventional security practices v/s AI-powered approaches in Internet of Things
International journal of engineering technology and management sciences, 2022
The internet of things (IoT) is an advancement that can change the way that we live, in regions going from transport to prosperity, from redirection to our associations with government. The usage of the IoT has extended decisively, and network insurance concerns have extended close by it. IoT systems might perhaps increase effectiveness, obligation, detectability, and efficiency. The extreme front line of organization assurance is Artificial Intelligence (AI), which is used to improve bewildering computations to shield associations and structures, including IoT systems. As to security, the IoT will be gone up against extra outrageous troubles. In this paper, we discuss the conventional security methods and the role of artificial intelligence in governing security in the Internet of things.
Examining the Impact of Artificial Intelligence on Cybersecurity within the Internet of Things
IEEE HPEC, 2023
The explosive growth of the Internet of Things (IoT) has created unprecedented cybersecurity challenges and opportunities. As the Internet of Things expands to include more connected devices, it becomes more difficult to safeguard the security and privacy of sensitive data. In this context, artificial intelligence (AI) has become a potent instrument for enhancing the security of Internet of Things (IoT) devices. This article seeks a greater understanding of how artificial intelligence may support cybersecurity in the IoT ecosystem. To reduce vulnerabilities, identify threats, and enhance the overall resilience of Internet of Things (IoT) systems, this paper examines the application of AI techniques. The proposed research investigates the numerous applications of AI in IoT cybersecurity, such as threat intelligence, behavioral analysis, anomaly detection, and predictive modeling. The study will include a summary of current AI-driven IoT security methods and algorithms and an evaluation of their strengths and limitations. In addition, it will underscore the importance of combining AI with other cybersecurity technologies, such as blockchain and cloud computing, to construct a robust defense system. Additionally, the paper discusses the ethical implications of AI use in IoT cybersecurity. It will discuss potential issues such as biases in AI algorithms, privacy concerns, and the need for accountability and transparency in decision-making. In conclusion, this article provides valuable insights into AI's role in IoT cybersecurity and its potential to alter IoT system defense fundamentally.
Artificial Intelligence and its Applications in the Field of Internet of Things (Iot
International Journal of Research in Science & Engineering, 2024
Artificial Intelligence (AI) and the Internet of Things (IoT), are innovative technologies that have revolutionized many fields independently. Altogether, this convergence offers a daunting possibility for innovation of a number of aspects of smartness in a range of domains on the one hand and the optimization of those aspects for sustainability on the other hand. Machine learning and deep learning help IoT devices and networks perform analytics on big data and achieve real-time decision making and automation. In smart cities AI based IoT helps in the self-organizing and self-optimizing of traffic management, and utilization of energy, and increases public safety by applying predictive analytics to the actual management of a city. The telemedicine receiving aid from AI IoT includes the detecting of sickness onset with a device that monitors patients and creates corresponding customized treatment regimens. The same way applied to IIoT where AI is implemented for predictive maintenance, quality assurance, inventory control and in turn, the achievement of alleviated downtime and improved production. Ethical issues related to bias in algorithms, and subsequent decision making via the use of Artificial Intelligence add another layer of concern in terms of deployment and utilization. Prospects for the future include such trends as edge computing, the AIoT is AI + IoT amalgamation, and the disruptive effect of quantum computing on AI applications for the IoT. The mitigation of these difficulties and the exploitation of these opportunities will open the path to proper optimizations of AI-based IoT systems as concerns effectiveness, security and/or ethics. This article stresses how AI is mandatory to the implementation of an ideal IoT system by exploring current uses, future developments, and problems that are vital for the advancement of IoT.
International Journal of Computer Trends and Technology (IJCTT), 2020
The so called internet of things (IoT) is a form of technology advancement that has a capacity for driving change in our daily lives in a variety of sectors. The fantastic opportunity will help in the collection of data that is relatively exponential and in a manner that is continuous to present changes that are significant on the lives. Devices growth and the speed in which they are developed to attain the IoT era of technology offers the challenges of security and the battling of freedom as people establish policies and governance that rebuilds the developments without interfering with the innovations. Among the issues, includes the concerns on the security and privacy brought by the technology. The vulnerabilities of security that are experienced by the IoT devices are as a result of the contributing factors like the low capabilities of the devices in terms of energy and the capabilities of computing, the wireless channels are seemingly unreliable, and the vulnerabilities on the physical nature of the devices. This paper will focus on the IoT evolution, the definitions attached to IoT, and some of the many applications of IoT. It will create an emphasis on the considerations of security and privacy, including the challenges that are tied to the general IoT and the IoT application context. A critical assessment of the works done for IoT is presented by the literature review on the perspective of the developmental era and the evaluation of the trend. The paper will also give the IoT security risks taxonomy, mechanisms, and attacks related to the technology.
In this chapter, the authors collected data from issues related to threats in the applications of IoT-based technologies that describe the security and privacy issues from 30 peer reviewed publications from 2014 to 2017. Further, they analyzed each threat type and its percentages in each application of the internet of things. The results indicated that the applications of smart transportation (20%) face the highest amount of security and privacy issues followed by smart home (19%) and smart cities (18%) compared to the rest of the applications. Further, they determined that the biggest threats were denial of service attack (9%) followed by eavesdropping (5%), man in the middle (4%), and replay (4%). Denial of service attacks and man in the middle attack are active attacks that can severely damage human life whereas eavesdropping is a passive attack that steals information. This study has found that privacy issues have the biggest impacts on people. Therefore, researchers need to find possible solutions to these threats to improve the quality of IoT applications.