Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

12Utilization of Deep Learning Models for Safe Human‐Friendly Computing in Cloud, Fog, and Mobile Edge Networks

Diego M.R. Tudesco¹, Anand Deshpande², Asif A. Laghari³, Abdullah A. Khan⁴, Ricardo T. Lopes⁵, R. Jenice Aroma⁶, Kumudha Raimond⁷, Lin Teng⁸, and Asiya Khan⁹

¹Department of Telecommunications, Federal Fluminense University (UFF), Niterói, RJ, Brazil

²Electronics and Communication Engineering, Angadi Institute of Technology and Management, Belagavi, India

³Sindh Madresstul Islam University, Karachi, Sindh, Pakistan

⁴Research Lab of Artificial Intelligence and Information Security, Faculty of Computing, Science and Information Technology, Benazir Bhutto Shaheed University, Karachi, Sindh, Pakistan

⁵Federal University of Rio de Janeiro (COPPE/UFRJ), Nuclear Engineering Laboratory (LIN), Rio de Janeiro, RJ, Brazil

⁶Department of CSE, Karunya Institute of Technology and Sciences, Karunya University, Coimbatore, India

⁷Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

⁸Software College, Shenyang Normal University, Shenyang, China

⁹School of Engineering, Computing and Mathematics (Faculty of Science and Engineering), University of Plymouth, Plymouth, UK

12.1 Introduction

Significant usage of “artificial intelligence” (AI) (e.g., “machine learning” [ML]) cybersecurity (CS) [1, 2] is over “intrusion detection and prevention systems” (IDPSs) to constantly examine networks [3–6]. IDPSs [7] can spot likely incidents ...