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Dramatically improve your cybersecurity using AI and machine learning
In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device's owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities.
This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts.
Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers:
Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.
Author: Leon Reznik
Publisher: Wiley-IEEE Press
Published: 09/28/2021
Pages: 368
Binding Type: Hardcover
Weight: 1.89lbs
Size: 10.00h x 7.00w x 0.88d
ISBN: 9781119771531
About the Author
Leon Reznik, PhD, is Professor in the Department of Computer Science at Rochester Institute of Technology in the United States. He received his doctorate in Information and Measurement Systems in 1983 at the St. Petersburg State Polytechnic University. He has published four books and numerous book chapters, conference papers, and journal articles.
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