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

Multi-Agent Simulation of Decentralized Autonomous Organizations: Governance and Risk Assessment.- Developing a New Optimization-Based Black-Box Software Testing Tool Using a Neural Network Improved with Adam Optimizer and Boundary Value Analysis.- Using Social Network Analysis to Study Knowledge Sharing Mechanisms in Startups.- Cross-Layer Performance Optimization: How Analog Circuit Layout Impacts 5G Network Efficiency.- Adaptive Self-Healing and Secure Routing Protocols for MANETs: A Novel Approach.- A Hybrid Ensemble Learning Method for Real-Time Intrusion Detection in IoT Networks.- Design of Human Resource Management Digital Transformation Evaluation System and Decision Support Model Based On 6 Sigma-DMAOV Model.- Machine Learning Meta-Model Development Through Supervised Learning.- Efficacy of Machine Learning application within a Clinical Workflow for Chronic Kidney Disease.- A Hybrid Architecture for Real-Time Data Ingestion and Querying Using Kafka and Intelligent Database Systems.- Design and Implementation of CNN-SMOTE Model for Software Defect Prediction.- Real-Time Cryptocurrency Forecasting Using Mamba-SSM.- Color Analysis and Hairstyle Recommendation System Using MobilenetV2 and CNN.- Research on the Design of Intensive Automatic Control System for Locomotive Cables.- Botnet Detection in IoT using New Hybrid Deep Learning CNN-GRU.- SmartFace: An ML-Based System for Criminal Identification.- Using Different Machine Learning Methods to Predict House Prices.- E-Commerce Human Resource Allocation Optimization Model and Computer-Aided Decision-Making Based on Deep Learning Algorithm.- RLHF: A comprehensive Survey for Cultural, Multimodal and Low Latency Alignment Methods.- Adaptive and Explainable AI Agents for Anomaly Detection in Critical IoT Infrastructure using LLM-Enhanced Contextual Reasoning.- Detoxifying Future Internet Using Blockchain and Zero-Knowledge Proofs.- Revolutionizing CAD Diagnosis: Agentic AI in Cardiac CT Scans.- The Compliance of ISO 27001 and NIST 2.0 Cybersecurity Management Framework in Railway System Assurance Project Monitoring: Case Study of Automatic Rail Transit (ART) System.- The Impact of Anticyclones on Flight Operations at Indian Airports: A Comprehensive Analysis of Visibility Challenges and Mitigation Strategies.- Building the Decentralized Future: Blockchain Innovation with Ethereum at the Core.- Federated Learning with Weighted Averaging enabled a Hybrid Deep Learning model for healthcare to predict patient actions.- Brain-Controlled UAV Navigation: A Deep Learning and Reinforcement Learning Framework for Real-Time Aerial Maneuvering.- Performance Evaluation and Optimization of Machine Learning and RFMTC Models in Precision Marketing Response Prediction.- Quantitative Analysis of Carbon Pricing Impact on Corporate Finance and Investment Planning.- Securing Financial Data in Multi-Tenant Clouds Through AI, Blockchain, and Attribute-Based Encryption.- Detection of Alzheimer's Disease Using Machine Learning and Biosensor Integration.- Fusion of Deep Learning and Texture Analysis for Accurate Plant Leaf Disease Identification.- Automating Resume Prioritization and Ranking using AI-BERT Coupling.- Credit Card Fraud Detection in Imbalanced Datasets: A Comparative Evaluation of Classification Algorithms.- Comparative Fingerprint Recognition Using HOG-PCA and ML Classifiers.- Road Simulation Test Control Method Based On Deep Reinforcement Learning.- Efficient Homomorphic Encryption Techniques for Confidential Big-Data Analytics over Public Cloud Infrastructures: Algorithms, Performance, and Trade-Offs.- Deep LearningBased Threat Prediction and Autonomous Response Mechanisms for Containerized Microservices in Hybrid Cloud Deployments.