A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

14An Overview of Enhancing Encryption Standards for Multimedia in Explainable Artificial Intelligence Using Residue Number Systems for Security

Akeem Femi Kadri¹, Micheal Olaolu Arowolo²*, Ayisat Wuraola Yusuf-Asaju³, Kafayat Odunayo Tajudeen¹ and Kazeem Alagbe Gbolagade¹

¹Department of Computer Science, Kwara State University, Malete, Nigeria

²Department of Computer Science, Landmark University, Omu-Aran, Nigeria

³Department of Information and Communication Science, University of Ilorin, Ilorin, Nigeria

Abstract

In spite of the increasing use of machine learning models in the applications of cyber-security, such as intrusion detection system (IDS), the vast majority of developed models are still considered black boxes. In order to improve conviction organization by permitting human specialists to grasp the basic data indication and fundamental perceptive, the use of eXplainable artificial intelligence (XAI) to interpret machine learning models has become increasingly important. Because of advancements in Internet technology and the development of efficient compression techniques, the security of digital video storage and transmission has recently gotten a lot of attention. The improvement has permitted the widespread use of video in a variety of strategies, as well as the communication of complex information, such as medical, military, and political secrets. These multimedia data are constantly subject to interception by hostile and unauthorized people all over the world when ...