An Interdisciplinary Approach to Modern Network Security

An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats.

Autorentext

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

Klappentext

An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats.

Inhalt

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