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.
Toward Smart and Personalized Web Service Composition: An AI-Based
Approach.- Injury and Rehabilitation Assessment Using Convolutional Neural
Networks.- AI-Powered Intelligent Log Analysis and Zero Trust Frameworks:
Revolutionizing Cloud Auditing for Real-Time Anomaly Detection and Compliance
Assurance.- Research on Algorithm Optimization Strategies Based on the
Cognitive Mode of English Learning.- Optimizing ChatGPT with Shot-Based
Approaches.- Deep Learning Methods for Stock Prediction: Comparative Analysis
of LSTM, RNN, GRU and Optimizer Performance.- Smart Air Purification:
IoT-Enabled Detection and Photocatalytic Reduction of Carbon Monoxide Using
TiO2.- Combining Features of DenseNet Network for Content-Based Image
Retrieval.- Research and practice cyber-attack to gain access in e-commerce.-
Optimizing Smart Housing: Regression Techniques for Price Prediction.-
Comparative Evaluation of CNN and Transformer Models for Image
Classification: Insights from the ODIR 5K Dataset.- An Improved and Scalable
CNN-CAE Framework for Alzheimer Risks Feasibility.- Deep Learning-Based
Insurance Claim Prediction using SMOTE and ResNet Algorithm.- Analysis and
Classification of Customer Feedback for Buffet Poseidon Restaurant Using
Google Maps Data.- Advancing Sentiment Analysis on social media: A
Comparative Study of Supervised Learning, Deep Learning, and Ensemble
Learning Algorithms.- User Behavior Analysis and Application in Cultural
Product Recommendation Algorithm.- Cosine Patterns Similarity: Application in
the Development of Music Information Retrieval.- Studying the Effect of
Metrological Variable on Occurrence of Fungal Disease Downy Mildew on
Grapevines of India.- Tom and Jerry Chase: Ransomware Analysis And Detection
At A Glance.- Analysis and Evaluation of IoT-Driven Automated Plant Watering
System.- ResurrectAI: Persona-Driven Conversational AI for Human-Like
Interactions.- Hybrid Deep Belief Neural Network for Risk Classification in
Evolutionary Environments.- Regulatory Frameworks and Governance Models for
AI-Enabled Healthcare PaaS: A Gap Analysis and Future Directions.- Optimized
Aggregate Signature Mechanisms for Reliable Healthcare IoT Systems.- ML Based
Performance Evaluation of Multipath TCP in 5G.- Development of an AI Chatbot
for Enhanced Customer Service.- GADL-SIC: Next-Gen Satellite Image
Classification through Deep Feature Extraction and Genetic Algorithm.-
Intelligent Adaptive System of Music Therapy for Children with Autism Based
on Reinforcement Learning.- Regulatory Frameworks and Governance Models for
AI-Enabled Healthcare PaaS: A Gap Analysis and Future Directions.- Optimized
Aggregate Signature Mechanisms for Reliable Healthcare IoT Systems.-
Forecasting Cloud Resource Utilization with Hybrid Self-Normalizing Neural
Networks.- Verification of Speech Signal Using Discrete Wavelet Transform and
Mel Frequency Cepstral Coefficients Features.- Unveiling the Field: A
Data-Driven Framework for Hockey Game Prediction.- ViTBiT-PoxNet: An
Explainable Hybrid Deep Learning Framework for Enhanced Early-Stage Monkeypox
Classification.- Optimized Fraud Detection in Credit Cards Using ML and EJaya
Algorithm.- Feature Normalized Machine Learning Approach for Fraud Detection
in Online Transactions using Random Forest.- Evaluation of CNN, LSTM, and
Hybrid CNN-LSTM Models for Sequential Image Recognition Tasks: Insights into
Accuracy and Computational Performance.- Advanced Embedded Systems Design:
Architectural Trends in FPGA, SoC and ASIC Technologies.- Blockchain Powered
Elections: A Secure and Transparent Approach.- Real-time Business Data
Collection and Accounting Based on the Internet of Things.- An Overview of
Cybersecurity Risks and Threats in Cloud Computing.- Application of Internet
of Things (IoT) and Machine Learning in Predictive Maintenance of Industrial
Equipment.- Research on power distribution network circuit fault detection
based on the improved DINO algorithm.
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 Chancellors award for outstanding contribution to learning and teaching as well as Student Unions award as Outstanding Member of academic staff while working at London Metropolitan University.
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