Generative Artificial Intelligence for Next-Generation Security Paradigms

13RDE-GAI-IDS: Real-Time Distributed Ensemble and Generative-AI-Based Intrusion Detection System to Detect Threats in Edge Computing Networks

Amit Kumar¹*, Vivek Kumar¹, Manoj Kumar Mahto² and Abhay Pratap Singh Bhadauria³

¹Department of Computer Science, Gurukula Kangri (Deemed to be University), Haridwar, India

²Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Deshmukhi(V), Telangana, India

³Department of Computer Science, GLA University, Mathura, India

Abstract

The increasing presence of the Internet of Things (IoT) and edge devices in 5G and 6G virtual networks has created the necessity for inventive solutions to address challenges such as decentralized operations and security issues. Edge computing is a new emerging technology in cloud computing. This technology preprocesses and computes data on nodes near the edge computing network. Moreover, it also reduces the time complexity along with faster preprocessing of data. Despite all this, it providing proper security for the critical data generated from IoT has also become a challenge. As per the current trend, attackers are also using new techniques to trace network traffic, which can exploit the IoT device along with critical data and also lose data. Apart from this, Denial of Service (DoS) attacks and Distributed Denial of Service (DDoS) attacks are also common in edge computing networks. These attacks prove to be very fatal for IoT networks. Due to this, detecting them remains ...