Advances in Nature-Inspired Cyber Security and Resilience

Nature-inspired Cyber Security and Resilience: An Overview.- Detection of Reconnaissance Attacks on IoT Devices Using Deep Neural Networks.- Particle Swarm Optimization driven DSE based Low Cost Hardware Security for Securing DSP IP Cores.- Malicious Activity Detection in IoT Networks: A Nature-Inspired Approach.- Nature-inspired malware & anomaly detection in android-based systems.- A Review of Artificial Intelligence and Machine Learning Methods for Cybersecurity Applications.- A Nature Inspired DNA Encoding Technique for Quantum Session Key Exchange Protocol.- Novel Hybridized Crow Optimization for Secure Data Transmission in Cyber Networks.- Malware attacks: Dimensions, Impact, and Defenses.

Dr. Shishir Kumar Shandilya is the Deputy Director of SECURE - Centre of Excellence in Cyber Security and Division Head of Cyber Security and Digital Forensics at VIT Bhopal University. He is working as a Principal Consultant to the Govt. of India for Technology Development and Assessment in Cyber Security. He also holds the position of Executive Director of National Cyber Defense Research Centre, New Delhi. He is a Visiting Researcher at Liverpool Hope University-United Kingdom, a Cambridge University Certified Professional Teacher and Trainer, ACM Distinguished Speaker and a Senior Member of IEEE. He is a NASSCOM Certified Master Trainer for Security Analyst SOC (SSC/Q0909: NVEQF Level 7) and an Academic Advisor to National Cyber Safety and Security Standards, New Delhi. He has received the IDA Teaching Excellence Award for distinctive use of technology in Teaching by Indian Didactics Association, Bangalore (2016) and Young Scientist Award for two consecutive years, 2005 and 2006, by Indian Science Congress and MP Council of Science and Technology. He has seven books published by Springer Nature-Singapore, IGI-USA, River-Denmark and Prentice Hall of India. His recently published book is on Advances in Cyber Security Analytics and Decision Systems by Springer. 

Dr. Neal Wagner is a Complex Systems Scientist, Analysis and Decision Systems Group, Systems and Technology Research, USA. Before this, he was technical staff member in the Cyber Analytics and Decision Systems Group at MIT Lincoln Laboratory. His focus lies in developing problem-solving methods, tools, and techniques that combine computational intelligence and modeling and simulation to create automated/semi-automated cyber decision-making systems. Prior to joining Lincoln Laboratory in 2013, he was at SolveIT Software, where he specialized in the commercialization of bio-inspired computing techniques for supply chain optimization of large organizations. His academic