A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure .
Journal of Artificial Intelligence Research & Advances [2395-6720(e)] is a peer-reviewed hybrid Journal launched in 2014 that investigates the role of artificial intelligence in this rapidly progressing and challenging environment. This journal provides a rich, multidisciplinary platform for current …
joaira maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Prof. Gunasekaran Gurusamy, Professor, Dean—Freshman Engineering
Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India, 600062
Email :
Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure .
Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are convergence of these two technology which can enable a operator of a cyber-terror campaign even with a very little technical knowledge a chance to deliver a serious threat by using generated synthetic media which can take any form across modality such as a)written text b)Images c)Audios and videos it allows it to happen with high fidelity, while being highly cost effective hence becoming a very potent and dangerous category of cyberterrorism vector it also dramatically lowers the technical barrier to entry for malicious actors.
Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are convergence of these two technology which can enable a operator of a cyber-terror campaign even with a very little technical knowledge a chance to deliver a serious threat by using generated synthetic media which can take any form across modality such as a)written text b)Images c)Audios and videos it allows it to happen with high fidelity, while being highly cost effective hence becoming a very potent and dangerous category of cyberterrorism vector it also dramatically lowers the technical barrier to entry for malicious actors.
Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment
The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities.
Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence.