Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security
Description
This book features selected research papers presented at the Fifth International Conference on Computing, Communications, and Cyber-Security (IC4S'05) Volume 2, organized in India, during 8th-9th April, 2024. The conference was hosted at GEHU, Bhimtal Campus in India . It includes innovative work from researchers, leading innovators, and professionals in the areas of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. The work is presented in two volumes.
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Persons
Dr. Paulo J. Sequeira Gonçalves is a Professor of Electrotechnical and Industrial Engineering with the School of Technology in the Polytechnic Institute of Castelo Branco, Portugal. He is also a senior researcher at IDMEC, Instituto Superior Técnico, University of Lisbon, Portugal. Dr. Gonçalves was trained in Mechanical Engineering, achieving the M.Sc. and Ph.D. degrees from Instituto Superior Técnico, University of Lisbon, 1998 and 2005, respectively. Dr. Paulo J. Sequeira Gonçalves (P.J.S. Gonçalves) presented more than 100 paper in renowned journal and conferences in robotics, vision and computational intelligence. He served as Chair of the IEEE-CIS (computational Intelligence) Portuguese chapter, was officer of the IEEE RAS working group who developed the first RAS standard and one of the first ontology-based IEEE standards. He received several scientific awards both national and international. He organized and chaired several international conferences, and edited its proceedings. The organized several workshops in top-tier robotic IEEE conferences, e.g., ICRA, IROS and ROMAN. He server as a regular reviewer in top level journals. He was invited visiting professor in European Universities, in the field of robotics. Currently is Co-Chair of the IEEE P1872.2 - Standard for Autonomous Robotics (AuR) Ontology, and actively works in three other IEEE standards working groups within robotics and automation. He received funding for his research projects, in Principal Investigator and/or Researcher, from the EU, IEEE, private companies and the Portuguese National Research Funding Agency. He works as a regular expert for the European Commission and for the National Accreditation of University Study Programmes. Dr. Paulo J. Sequeira Gonçalves research keywords include Computational Intelligence, Ontologies, Robotics, Computer Vision, Industrial Automation.
Dr. Pradeep Kumar Singh is currently working as a Professor and Associate Dean, Computer Engineering, NMIMS Deemed to be University, India. He is Associate Editor of the IJISMD, [IJISMD is indexed by Scopus & Web of Science], IJAEC, IGI Global USA, SPY, Wiley & IJISC from Romania. He is recently appointed as a Section Editor, Discover IoT, Springer Journal. He has published nearly 200 research papers. He has received three sponsored research projects grant worth Rs 25 Lakhs. He has edited a total 16 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. He has Google scholar citations 3250, H-index 27 and i-10 Index 62.
Dr. Sudeep Tanwar is a Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks. His current interests include routing issues in WSN, integration of sensors in thecloud, computational aspects of smart grids, and Blockchain Technology. He has authored or co-authored more than 150+ technical research papers published in leading Peer-reviewed International journals and International Conferences from the IEEE, Elsevier, Springer, John Wiley and has authored five books: He is recipient of the Best Research Paper awards from IEEE GLOBECOM-2018 and Springer ICRIC-2019. He is a TPC member and reviewer of many international conferences across the globe. He is an associate editor of the Security and Privacy Journal, and is a member of the IAENG, ISTE, and CSTA. He has Google scholar citations 8405, H-index 52 and i-10 Index 140.
Dr. Gregory Epiphaniou currently holds a position as an Associate Professor of security engineering at the University of Warwick. His role involves bid support, applied research and publications. Part of his current research activities is formalised around a research group in wireless communications with the mainfocus on crypto-key generation, exploiting the time-domain physical attributes of V-V channels. He led and contributed to several research projects funded by EPSRC, IUK and local authorities totalling over £8M. He is also the main inventor of a patented-pending technology on a distributed ledger system (GB2576160A/US200042497A1). He was previously holding a position as a Reader in Cybersecurity and acted as deputy director of the Wolverhampton Cybersecurity Research Institute (WCRI). He has taught in many universities both nationally and internationally in a variety of areas related to proactive network defence with over 120 international publications in journals and conference proceedings and author in several books and chapters. He holds several industry certifications in Information Security and worked with several government agencies, including the UK MoD, in Cybersecurity related projects. He currently holds a subject matter expert panel position in the Chartered Institute for Securities and Investments. He acts as a technical committee member for several scientific conferences in Information and network security. He serves as a key member in the development of WS5 for the formation of the UK Cybersecurity Council.
Content
Incorporation of the Self-Attention Mechanism into Convolutional Neural Networks for the Target Recognition.- Deep Residual Networks including Transfer Learning for Facial Emotion Identification.- Plant Leaves Disease Detection using Integrated Convolution Neural Networks:A case study on potato.- Electrocardiogram Classification Using Convolutional Neural Network.- From Pixels to Truth: Unveiling Deepfakes with a Meso-5 and XceptionNet Fusion Network.- 5G Technology: From Evolution to Current Time.- An efficient method to deal with missing values and class imbalance in healthcare data.- Improving Machine Learning Algorithm's Accuracy for Detecting Code Smell Using Data Balancing and Pa-rameter Optimization.- Enhanced Multimodal Conversational AI Using Speech and Image Integration.- A Visual Android Malware Detection Technique based on Process Memory Dump Files.- BookNest : An ensemble based Book Recommendation System.- Deep Transfer Learning in Parasites Imaging: A Systematic Review.- Electronic Healthcare Record Sharing System Using Blockchain.- Android Malware Detection Using Learning Techniques: A Review.- Survey on Classification of Disease Identification in Potato Leaves for Precision Agriculture Using Deep Learning and Machine Learning.- Enhancing Student Success: Predictive Modeling of Graduation and Dropout Rates in University Management Using Machine Learning.- A Deep Learning Framework for Automated Breast Cancer Detection through Histopathological Image Analysis.- Deep Pox: Leveraging Deep Learning Techniques for Monkeypox Recognition in 2022.- Automated epileptic seizure detection of EEG signals using machine learning.- Credit Card Fraud Detection Using Random Forest and K-Nearest Neighbors (KNN) Algorithm.- Deep Learning Techniques in Sector of Agriculture.- Deep Learning Techniques in Sector of Agriculture.- Comparative Analysis of monopole and Dipole Antennas for CubeSats: A Review.- Blockchain-Driven Recommender Systems Redefining User Experiences.- Unlocking the Potential of Healthcare IoT: Architectural Insights and Future Trends.- Constructing a Hierarchical model based on the Blockchain in Healthcare.- Securing Digital Integrity: Proposed Comprehensive Framework for Deepfake Detection and BlockChain Validation.