About the Book: 

Contents: 

1.        A Deep Learning-based System for Network Cyber Threat Detection

2.        Machine Learning for Phishing Detection and Mitigation

3.         Next Generation Adaptable Opportunistic Sensing-based Wireless Sensor Networks: A Machine Learning Perspective

4.        A Bio-inspired Approach to Cyber Security

5.         Applications of a Model to Evaluate and Utilize Users’ Interactions in Online Social Networks

6.        A Deep-dive on Machine Learning for Cyber Security Use Cases

7.         A Prototype Method to Discover Malwares in Android-based Smartphones through System Calls

8.         Metaheuristic Algorithms-based Feature Selection Approach for Intrusion Detection

9.        A Taxonomy of Bitcoin Security Issues and Defense Mechanisms

10.      Early Detection and Prediction of Lung Cancer using Machine-learning Algorithms Applied on a Secure Healthcare Data-system Architecture

11.      Preventing Black Hole Attack in AODV Routing Protocol using Dynamic Trust Handshake-based Malicious Behavior Detection

12.      Detecting Controller Interlock-based Tax Evasion Groups in a Corporate Governance Network

13.      Defending Web Applications Against JavaScript Worms on Core Network of Cloud Platforms

14.     Importance of providing Incentives and economic Solutions in It Security

15.      Teaching Johnny to thwart phishing attacks: Incorporating the Role of Self-efficacy into a Game Application

About the Author:

Brij B. Gupta got his doctorate from the Indian Institute of Technology, Roorkee, India in Information and Cyber Security. He has published more than 200 research papers in International Journals and Conferences of high repute. His biography was published in the 30th Edition of Marquis Who's Who in the World, 2012. He is a recipient of the Young Faculty Research Fellowship award from the Ministry of Electronics and Information Technology, Government of India. At present, He is engaged as Assistant Professor in the Department of Computer Engineering, National Institute of Technology, Kurukshetra. His research interest includes Information security, Cyber Security, Mobile security, Cloud Computing, Web security, Intrusion detection and Phishing.

Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University Sydney, Australia. Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre Australia. He has also worked as a senior software engineer in industry. Prof. Sheng has more than 280 publications as including edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He received the ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). He is a member of the IEEE and the ACM.