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Role of Neural Network, Fuzzy, and IoT in Integrating Artificial Intelligence as a Cybersecurity System

Role of Neural Network, Fuzzy, and IoT in Integrating Artificial Intelligence as a Cybersecurity System

M. K. Sharma (Chaudhary Charan Singh University, India), Abeda Dodamani (University of Eswatini, Eswatini), M. Kalyan Chakravarthi (VIT-AP University, Amaravathi, India), N. Magendiran (Vivekanandha College of Engineering for Women, India), Mohit Tiwari (Bharati Vidyapeeth's College of Engineering, India), and Tripti Tiwari (Bharati Vidyapeeth, India)
Copyright: © 2025 |Pages: 14
DOI: 10.4018/979-8-3373-1032-9.ch011
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Abstract

Issues regarding cybersecurity have grown in tandem with the prompt expansion of the IoT-internet of technology in the past decade. Artificial intelligence (AI) technology is employed to develop advanced methods to protect networking and structures, such as IoTs innovations, are at the top of cybersecurity. Nevertheless, attackers have found ways to exploit the AI, and thus they are starting to use it upon their competitors to carry out security breaches. Because of the minimal computational analysis and storing capabilities of IoT systems, traditional advanced cybersecurity methods are insufficient to safeguard an IoT platform.
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