This book includes selected peer-reviewed papers presented at Fifth International Conference on Computing and Communication Networks (ICCCN 2025), held at Manchester Metropolitan University, UK, during August 12, 2025. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.

Includes recent research presented at ICCCN 2025, held in Manchester Metropolitan University, UK Presents research works in the field of computing and communication networks Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Dr. Nhu Gia Nguyen received a Ph.D. degree in computer science from Ha Noi University of Science at Vietnam National University, Vietnam. Currently, he is Dean of the Graduate School at Duy Tan University, Vietnam. He has a total academic teaching experience of 18 years with more than 50 publications in reputed international conferences, journals, and online book chapter contributions (indexed by: SCI, SCIE, SSCI, Scopus, DBLP). His areas of research include: network communication, security and vulnerability, network performance analysis and simulation, cloud computing, image processing in biomedical. Presently, he is Associate Editor of the International Journal of Synthetic Emotions (IJSE).

Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture and Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has 28 years of teaching and industrial experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida, and Galgotias University Greater Noida. He is actively engaged in research. One of his Ph.D. scholars has completed his Ph.D. from NIT Kurukshetra, and he is currently supervising 4 Ph.D. students. He has guided 12 M.Tech. dissertations also. He has authored 3 books and 5 book chapters. His 10 papers are indexed in DBLP and 16 papers are SCI. He had been part of the organizing committee of three IEEE conferences (ICCCA-2015, ICCCA-2016, ICCCA-2017) and one Springer conference (ICICC-2018) as Technical Program Chair. He is Member of various professional societies like CSI and ACM and editorial board of various reputed journals.

Dr. Pancham Shukla is Principal Teaching Fellow in the Faculty of Engineering at Imperial College London. Dr. Shukla holds more than 25 years of teaching and research experience at various universities in UK and India. He holds Ph.D. in electrical and electronic engineering from Imperial College London. Dr. Pancham Shukla has supervised a broad range of projects and published papers in signal/image processing, electronic and communications systems. He has organized conferences and has served as Technical Session Chair along with reviewing many international conference and journal papers. Dr. Shukla received Vice Chancellor’s award for outstanding contribution to learning and teaching as well as Student Union’s award as Outstanding Member of academic staff while working at London Metropolitan University.

Inhalt

FRMC-Net: Fruit Maturity Classification Network for Digital and Thermal Imaging based on Transfer Learning and Shuffle Attention.- Evaluating Perplexity as an Indicator for Sentence-Level AI-Generated Text Detection.- Efficient Deepfake Detection Using MobileViT-Based Feature Representation.- Using Deep Learning to Optimize Knowledge Graph Construction in Digital-Driven Learning.- Enhanced Pneumonia Detection Using Dl Techniques.- Deep Learning-Based Plant Disease Detection: A CNN Approach for Accurate Diagnosis.- An Artificial Intelligence-based Industry 4.0 Communication System using Blockchain for Healthcare for Applications.- Benchmarking Machine Learning for Multivariate Malware Detection in Software-Defined Networks.- Comparative Analysis of QoS-aware Link Load Balancing Mechanisms in Software-Defined Campus Networks.- Recent Energy Consumption Trends in Post-Quantum Cryptography.- Survey Paper on Enhancing Electric Vehicle Battery Management Systems using Artificial Intelligence.- Machine Intelligence based Intrusion Detection Systems for Restricting Cyberattacks and Enhancing Network Security.- Exploring the Implications of AI-Based Predictive Analytics for Financial Risk Management.- Investigation and Implementation on Vibrational Analysis Based Fault Detection in Stepper Motor.- Cascaded Kernel-Based Approach for Nonlinear Acoustic Echo Cancellation.- Construction of English Corpus and Alignment Feature Analysis Based on Particle Swarm Optimization Algorithm.- Face Anti-Spoofing for Face Recognition System Using Deep Learning Approach.- An Evaluative Study of Comparative Approaches Employing Supervised Learning for Prediction of Breast Cancer.- Grey Wolf Optimizer with Adaptive Genetic Memory: A Probabilistic Memory-Based Evolutionary Framework for Dynamic Optimization.- An Algorithm to Analyze the Heart Sound to Diagnose Heart Diseases.- Insurify: A Multi-Agentic System for Automated Vehicle Damage Assessment and Insurance Claim Generation.- Deep Learning and Reinforcement Learning for Proactive Ransomware Detection: A BehavioralAttention Graph Neural Network Approach.- Optimizing Firewall Efficiency: A Deep Learning-Driven Approach to Advanced Threat Mitigation.- Integrating Generative AI and GAN for Personalized Fashion And Clothing Design.- Deep Learning for Diabetic Foot Ulcer Classification, Severity Assessment, and Explainable AI.- Investigation and Implementation of Deep Learning Based Image Steganography.- Vehicle Price Estimation Through Regression Techniques.- Optimization of Winpmem memory acquisition tool for Enhanced performance in digital forensics.- Optimizing Mobile Centric Buffering Rates in Mobile Cloud Computing: A Performance Evaluation Framework.- AI/ML Based Robotics - Implementation for Vision, Communication, and Advanced Mechanics.- A Cloud-based Computer-Mediated Communication Framework for Peer Feedback in English to Arabic Translation Learning.- Intelligent Machine Learning-Based Detection of URLs for Malicious Activity: A Comparative Study of Various Classifiers.- Uniting Modalities: Advancing Multimodal Sentiment Analysis for Deeper Emotional Insights.- Object Detection For Visually Impaired People Using Reinforcement Learning.- Early Polycystic ovarian syndrome Detection Using a Multimodal Fusion of Convolutional Neural Network and KNearest Neighbors.- Advanced Video Monitoring for Security and Behavioral Analysis.- Machine Learning Approaches for Classification of Human Body Phenotype.- A Convolutional Neural Network with Attention for Multi-Stage Diabetic Retinopathy Detection.- Construction of an Adaptive Recommendation System for Innovation and Entrepreneurship Courses Oriented to Artificial Intelligence.- Emerging Trends and Challenges in Healthcare Robotics.- Study on the Coordinated Optimization of Distribution Automation and Distributed Energy Access.