Cybersecurity and Evolutionary Data Engineering

ISBN-13: 9789819950799 / Angielski / Twarda / 2023

Opis

This book comprises the select proceedings of the 2nd International Conference on Cybersecurity and Evolutionary Data Engineering (ICCEDE 2022). The contents highlight cybersecurity and digital forensics, evolutionary data engineering, and data management for secure contemporary applications. It includes papers on data models, semantics, query language; AI-driven industrial automation, ERP, CRM data security; authentication and access control; cyberspace structure and models; and drone large data filtration, cleansing, and security, among others. This book is of immense interest to researchers in academia and industry working in the fields of electronics and data engineering.

Spis treści

Current Status of Challenges in Data Security:  A Review.- Cyber Bullying: The growing menace in cyber space with its challenges and solutions.- Hybrid Feature Extraction for Analysis of Network System Security - IDS.- Stranger Trust Architecture: An advancement to Zero Trust Architecture.- Genetic algorithm optimized SVM for DoS Attack Detection in VANETs.- Digital and IoT forensic: Recent trends, methods and challenges.- Cloud Based Occlusion Aware Intrusion Detection System.- Comparative Analysis of Web Application based Encryption Methods.- Linking of Ontologies for Composition of Semantic Web Services using Knowledge Graph.- Fake image dataset generation of Sign Language using GAN.- Analysis of Multimodal Biometric System based on ECG Biometrics.- Performance Analysis of Nature Inspired Optimization based Watermarking Schemes.

O autorze

Raj Jain is currently Barbara J. and Jerome R. Cox, Jr., Professor of Computer Science and Engineering at Washington University in St. Louis. Dr. Jain is a Life Fellow of IEEE, Fellow of ACM, Fellow of AAAS, and a recipient of the 2017 ACM SIGCOMM Life-Time Achievement Award. Previously, he was one of the co-founders of Nayna Networks, Inc., a Senior Consulting Engineer at Digital Equipment Corporation in Littleton, Mass, and then a Professor of Computer and Information Sciences at Ohio State University in Columbus, Ohio. He has 15 patents and has written or edited 12 books, 19 book chapters, 100+ journal and magazine papers, and 130+ conference papers. He is known for his research on the application of quantum computing, AI, and blockchain to cybersecurity, wireless technologies for IoT, 4G and unmanned aircraft systems, congestion control and avoidance, traffic modeling, performance analysis, and error analysis. His papers have been widely referenced. With 39,800+ citations, according to Google Scholar, he is one of the most highly cited authors in computer science.

Carlos M. Travieso-González is a Professor and Head of the Signals and Communications Department at the University of Las Palmas de Gran Canaria, Spain. He received an M.Sc. degree in 1997 in Telecommunication Engineering at the Polytechnic University of Catalonia and a Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria, Spain. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has participated in 52 international and Spanish research projects, some of them as Lead Researcher. He is co-author of four books, Co-editor of 27 proceedings books, Guest Editor for eight JCR-ISI international journals, and Author of up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed in JCR – ISI—Web of Science) and has published seven patents in the Spanish Patent and Trademark Office.

He is an Evaluator of the project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, in 2017, 2018, and 2019 editions and the Award in Modality of COVID Research in 2020.

Sanjeev Kumar has 14+ years of teaching and 5-year research experience and currently working as an Assistant Professor in the Department of Master of Computer Applications at G L Bajaj Institute of Technology and Management, Greater Noida. He received M.C.A. from Utter Pradesh Technical University, Lucknow, and Ph.D. (Computer Science) from Gurukula Kangri University, Haridwar. He has qualified for UGC-NET in Computer Science and Application. He has guided 2 M.Tech. dissertations and 25 M.C.A. projects. He has published more than 20 research papers in International Journal and Conferences of Repute. He is the Editor of the book titled “Cyber Security in Intelligent Computing and Communications” published by Springer in the book Series of Studies in Computational Intelligence. His research interests are in Soft Computing, Computer Networks, Wireless Communication, 5G, and Security.