Mohit Kadwal | Prestige Institute of Management and Research, Indore (original) (raw)
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Papers by Mohit Kadwal
Nanotechnology Perceptions, 2024
In order to improve network security, this study investigates the integration of deep learning an... more In order to improve network security, this study investigates the integration of deep learning and artificial intelligence (AI) in the development of advanced intrusion detection systems (IDS). The inadequacy of traditional security methods has been demonstrated by the exponential rise in cyber threats that target complex network systems. Deep learning techniques are used by AI-driven IDS to evaluate large datasets, allowing for the real-time identification and categorisation of normal and deviant behaviour. This paper examines many deep learning approaches, including Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), and Recurrent Neural Networks (RNNs), emphasising how well these methods detect sophisticated attacks, such as advanced persistent threats and zero-day exploits. Furthermore, these systems' performance is assessed using important metrics including recall, accuracy, and precision. The results highlight how deep learning has the ability to transform intrusion detection and hence greatly increase the overall resilience of network security frameworks against changing cyber threats.
International Journal of Electrical and Electronics Engineering
Mobile Ad Hoc Networks (MANETs) permit wireless communication terminals that establish communicat... more Mobile Ad Hoc Networks (MANETs) permit wireless communication terminals that establish communication networks at any time and from any location because they do not require any established infrastructure. As a result, MANETs have a high application potential and have become a popular study area in recent years. However, MANETs continue to confront many hard issues that significantly impact their performance and use in real-world scenarios. The two problems involved in handling MANET topology are scalability and energy limitation. In this proposed system, clustering and routing mechanism are employed to resolve these issues. The novel clustering algorithm based on Cascaded Artificial Neural Network and routing path selection uses hydridized Ant Colony Optimization (ACO), and Salp Swarm Optimization (SSO) is proposed to support massive mobile ad hoc networks. A novel clustering technique assists in solving routing protocol issues and improving scalability. Clustering in MANETs offers a robust technique that optimally deploys resources while ensuring network architectural integrity. To examine the proposed system, MATLAB software is used to run simulations. According to the simulation results, the MANET network performance factors such as throughput, Packet delivery ratio, delay, and Average energy have improved.
International Journal for Research in Applied Science and Engineering Technology, Apr 30, 2023
Nanotechnology Perceptions, 2024
In order to improve network security, this study investigates the integration of deep learning an... more In order to improve network security, this study investigates the integration of deep learning and artificial intelligence (AI) in the development of advanced intrusion detection systems (IDS). The inadequacy of traditional security methods has been demonstrated by the exponential rise in cyber threats that target complex network systems. Deep learning techniques are used by AI-driven IDS to evaluate large datasets, allowing for the real-time identification and categorisation of normal and deviant behaviour. This paper examines many deep learning approaches, including Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), and Recurrent Neural Networks (RNNs), emphasising how well these methods detect sophisticated attacks, such as advanced persistent threats and zero-day exploits. Furthermore, these systems' performance is assessed using important metrics including recall, accuracy, and precision. The results highlight how deep learning has the ability to transform intrusion detection and hence greatly increase the overall resilience of network security frameworks against changing cyber threats.
International Journal of Electrical and Electronics Engineering
Mobile Ad Hoc Networks (MANETs) permit wireless communication terminals that establish communicat... more Mobile Ad Hoc Networks (MANETs) permit wireless communication terminals that establish communication networks at any time and from any location because they do not require any established infrastructure. As a result, MANETs have a high application potential and have become a popular study area in recent years. However, MANETs continue to confront many hard issues that significantly impact their performance and use in real-world scenarios. The two problems involved in handling MANET topology are scalability and energy limitation. In this proposed system, clustering and routing mechanism are employed to resolve these issues. The novel clustering algorithm based on Cascaded Artificial Neural Network and routing path selection uses hydridized Ant Colony Optimization (ACO), and Salp Swarm Optimization (SSO) is proposed to support massive mobile ad hoc networks. A novel clustering technique assists in solving routing protocol issues and improving scalability. Clustering in MANETs offers a robust technique that optimally deploys resources while ensuring network architectural integrity. To examine the proposed system, MATLAB software is used to run simulations. According to the simulation results, the MANET network performance factors such as throughput, Packet delivery ratio, delay, and Average energy have improved.
International Journal for Research in Applied Science and Engineering Technology, Apr 30, 2023