Soft Computing for Security Applications: Proceedings of ICSCS 2021(1397 Advances in Intelligent Systems and Computing)

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.

Table of Contents:
Facial Image Denoising and Reconstruction.-  One Method for RC5 Algorithm’s Cryptographic Strength Improving.- Multiclass Classification of Firewall Log Files Using Shallow Neural Network for Network Security Applications.- On the Possibility of Evasion Attacks with Macro Malware.-  IoT-Based Smart Crop Field Monitoring and Protection System from Heavy Rainfall Utilizing Raspberry Pi

About the Author :
Dr. G. Ranganathan working as a Professor and Head in Gnanamani college of Engineering and Technology, Namakal, India. He has done his Ph.D. in the Faculty of Information and Communication Engineering from Anna University, Chennai in the year 2013. His research thesis was in the area of Bio Medical Signal Processing. He has total of 29+ years of experience both in industry, teaching and research. He has guided several project works for many UG and PG Students in the areas of Bio Medical Signal Processing. He has published more than 35 research papers in International and National Journals and Conferences. He has also co-authored many books in electrical and electronics subjects. He has served as Referee for many reputed International Journals published by Elsevier, Springer, Taylor and Francis, etc. He has membership in various professional bodies like ISTE, IAENG etc., and has actively involved himself in organizing various international and national level conferences, symposiums, seminars etc. Dr. Xavier Fernando is the Director of Ryerson Communications Lab that has received total research funding of $3,185,000.00 since 2008 from industry and government (including joint grants). He has (co-) authored over 200 research articles, three books (one translated to Mandarin), several book chapters and holds few patents. The present and past members and affiliates of this lab can be found at this LinkedIn group and Facebook page. He was an IEEE Communications Society Distinguished Lecturer and has delivered over 50 invited talks and keynote presentations all over the world. He was a member in the IEEE Communications Society (COMSOC) Education Board Working Group on Wireless Communications. He was the Chair of IEEE Canada Humanitarian Initiatives Committee 2017–18. He was also the Chair of the IEEE Toronto Section and IEEE Canada Central Area. Dr. Fuqian Shi was graduated from College of Computer Science and Technology, Zhejiang University and got his Ph.D. on Engineering, and was a visiting Associate Professor at Department of Industrial Engineering and Management System, University of Central Florida, USA from 2012 to 2014. Dr. Shi is currently serving for Rutgers Cancer Institute of New Jersey, USA. Dr. Shi is a Senior Member of IEEE, Membership of ACM, and sever as over 30 committee board membership of international conferences; Dr. Shi also serve as associate editors of International Journal of Ambient Computing and Intelligence (IJACI), International Journal of Rough Sets and Data Analysis (IJRSDA), and special issue editors of IEEE Access. He published over 100 journal papers and conference proceedings, his research interests include fuzzy inference system, artificial neuro networks, and bio-mechanical engineering. Dr. Youssouf El Allioui got his Ph.D. in 2012 from Sidi Mohamed Ben Abdellah University, Fez, Morocco. Currently he is a professor at the department of computerscience, University of Sultan Moulay Slimane, Beni Mellal, Morocco. He works in a multidisciplinary environment involving machine learning, educational data mining (EDM), semantic web, knowledge management, Web Personalization and Recommender Systems, E-learning and semantic E-learning. His research focus is to study those research fields to come up with solutions to various real-world problems. He published several research papers at international journals and conferences. He served as a member of the technical committees of several international conferences and workshops.