Description
The global society has continued down a path of more connected devices, resulting in an explosion of data and endless possibilities, such as the rise of artificial intelligence (AI). In turn, this has changed the threat landscape, and this must be secured differently and managed constructively. The use of data science and AI could allow for more secure networks and systems but, at the same time, be used to undermine these connected environments.
Emerging Perspectives in Systems Security Engineering, Data Science, and Artificial Intelligence addresses emerging perspectives in systems security engineering, data science, and AI. Covering topics such as business resilience, IoT malware detection, and supply chain cyber security, this premier reference source is an excellent resource for computer scientists, security experts, IT managers, data scientists, students and educators of higher education, librarians, researchers, and academicians.
Author's/Editor's Biography
Maurice Dawson (Ed.)
Maurice Dawson serves as an Assistant Professor of Information Systems at University of Missouri-St. Louis, former Visiting Assistant Professor (Honorary) of Industrial and Systems Engineering at The University of Tennessee Space Institute, and Fulbright Scholar: Specialist in the Faculty of Computational Mathematics & Informatics at South Ural State University in Chelyabinsk, Russia. Dawson is recognized as an Information Assurance System Architect and Engineer by the U.S. Department of Defense. Research focus area is cyber security, systems security engineering, open source software (OSS), mobile security, and engineering management.