An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats.
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Autorenporträt
Editor #1 Dr. Sabyasachi Pramanik, Assistant Professor, Department of Computer Science & Engineering, Haldia Institute of Technology, India Editor #2 Dr. Anand Sharma, Assistant Professor, Department of Computer Science and Engineering, Mody University, India Editor #3 Dr. Surbhi Bhatia, Assistant Professor, Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. Editor #4 Dr. Dac-Nhuong Le, Associate Professor in Computer Science, Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam
Inhaltsangabe
Chapter 1: Application of Artificial Intelligence in Cyber-security - A Detail Survey on Intrusion Detection System
Chapter 2: IoMT data Security Approach: Blockchain in Healthcare
Chapter 3: Machine Learning Approach for Network Intrusion Detection System
Chapter 4: Deep learning approach for network intrusion detection system
Chapter 5: Firewalls and Security
Chapter 6: Application of Machine Learning and Deep Learning in Cyber Security: An Innovative Approach
Chapter 7: A Modified Authentication Approach for Cloud computing in E-Healthcare System
Chapter 8: Advanced Security System in Video Surveillance for COVID-19
Chapter 9: Secure Sound and Data Communication via Li-Fi
Chapter 10: A Novel Secured Method for Rapid Data Accumulation in Energy Aware WSN
