Neural Networks and Deep Learning Models in Intrusion Detection Systems

I.O. Clementina1, Dr. E.S. Chuku2, Dr. S. Bassey3, Dr. Emomotimi Agama4, Prof. Gilbert Aimufua5 & M.A. Ya’a6 DOI: 10.5281/zenodo.17203170 SSR Journal of Artificial Intelligence (SSRJAI) Intrusion Detection Systems (IDS) are critical for safeguarding modern networks against increasingly sophisticated cyber threats. Read More …

A Comprehensive Taxonomy and Empirical Analysis of IoT Cybersecurity Attack Vectors: A Systematic Review

Umaru Musa1, Adenomon Monday O.2, Steven I. Bassey3 & Gilbert I.O. Aimufua4 DOI: 10.5281/zenodo.17203717 SSR Journal of Artificial Intelligence (SSRJAI) The proliferation of the Internet of Things (IoT) has transformed the digital ecosystem, enabling seamless connectivity across industries, smart homes, Read More …

Security Implications of Artificial Intelligence in Machine Learning Systems

M.A. YA’A1, Mohammed Idris2 & Dr. GT Obadiah3 DOI: 10.5281/zenodo.17080669 SSR Journal of Artificial Intelligence (SSRJAI) The AI (Artificial intelligence) and the ML (machine learning) are growing up day by day. Today there are a lot of systems that uses Read More …

Cybercrimes and Wealth without Work: A Critical Analysis

Prof. Zems Mathias, PhD. DOI: 10.5281/zenodo.15599413 SSR Journal of Multidisciplinary (SSRJM) In the digital age, cybercrimes have become a dominant means by which individuals accumulate wealth without engaging in legitimate forms of work. This article explores the intricate relationship between Read More …