Cyber Security in Intelligent Computing and Communications

Rajeev Agrawal is a professor at G.L. Bajaj Institute of Technology and Management, Greater Noida, India. He has an illustrated experience of more than 27years in teaching and research, holds a B.E. degree in electronics engineering, and M. Tech. degree in system engineering. He received a Ph.D. degree in wireless communication channels from the School of Computer & System Sciences, JNU, New Delhi. He was a visiting professor at Kennesaw State University, Georgia, the USA, under a joint research project in remote patient monitoring & medical imaging. His research areas include planning and performance analysis of wireless networks and medical image analysis for automated diagnosis, performance analysis of fog, and edge networks. He has more than 70 publications in international journals and proceedings. He has been awarded by various state and national agencies for his contributions to research and academics. He is also serving as a reviewer for several reputed international journals and a member of the editorial board for two international journals. Jing Selena He is an associate professor from the Department of Computer Science, College of Computing and Software Engineering (CCSE) at Kennesaw State University (KSU), USA. His current research interests mainly include a robust future learning environment using intelligent sensing, big data analytics, cloud computing, machine learning, and artificial intelligence security technologies. He has published over 90 papers. In addition, she has edited/authored 7 book chapters/books. Her work has been cited more than 1,570 times based on Google Scholar, and her current h-index is 22. Moreover, she successfully led a Google IgniteCS sponsored Women Summer Camp titled “Girls Mentor Girls” at Girls Inc. Atlanta in Summer 2016. She earned the KSU Outstanding Early Career Faculty Award KSU in August 2017. E.S. Pilli is an associate professor in the Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur. He has over 24 years of academic, research, and administrative experience. Dr. Pilli is also an honorary dean (Network & Hardware), Rajasthan ILD Skill University, Jaipur. He received his M. Tech. (Computer Science) from Birla Institute of Technology, Ranchi, in 2001 and a Ph.D. (Computer Science) from the Indian Institute of Technology Roorkee in 2012. Dr. Pilli guided 5 Ph.D., 38 M.Tech., and 37 B.Tech. projects. His research areas are security, forensics, cloud computing, big data, IoT, blockchain, and quantum computing. He has 82 publications in international journals and conferences. Sanjeev Kumar has over 12 years of academic and 05 years of research experience. Dr. Kumar is an assistant professor in the Department of Computer Applications, G.L. Bajaj Institute of Technology and Management, Greater Noida. He received his MCA degree from Uttar Pradesh Technical University, Lucknow, and a Ph.D. (Computer Science) degree from Gurukula Kangri University, Haridwar. He has supervised 2 M.Tech. and 25 MCA projects and has published over 14 research papers in the international journal and conferences of repute. His research interests are soft computing, computer networks, wireless communication, 5G, and security.

State-of-the-art Survey on Web Vulnerabilities, Threat Vectors, and Countermeasures.- A Survey of Cyber Security Trends, Emerging Technologies and Threats.- Identifying key strategies for Reconnaissance in Cyber Security.- A Review on Open Challenges in Intrusion Detection System.- The Effectiveness of Machine Learning Techniques in the Detection of Cyber Intrusions.- Big Data Based Autonomous Anomaly Detection Security Analytics for Protecting Virtualized Infrastructures in Cloud Computing.- A Study on Clustering Facebook Multimedia based on Metadata – A Comparative Analysis.- A big impact of social network analysis and machine learning algorithms for predicting facts of covid-19 pandemic.- A Framework for Crowdfunding Platform using Ethereum Blockchain Technology.- Data Science: Concern for Credit Card Scam with Artificial Intelligence.