Ulteriori informazioni
An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats.
Sommario
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 SystemChapter 4: Deep learning approach for network intrusion detection systemChapter 5: Firewalls and SecurityChapter 6: Application of Machine Learning and Deep Learning in Cyber Security: An Innovative ApproachChapter 7: A Modified Authentication Approach for Cloud computing in E-Healthcare SystemChapter 8: Advanced Security System in Video Surveillance for COVID-19Chapter 9: Secure Sound and Data Communication via Li-FiChapter 10: A Novel Secured Method for Rapid Data Accumulation in Energy Aware WSN
Info autore
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
Riassunto
An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats.
