This book features research papers presented at International Conference on Innovations in Cybersecurity and Data Science (ICICDS 2025), held at Reva University, Bengaluru, India, during June 23, 2025. The book presents original research work in the field of computer science, computer applications, information technology, artificial intelligence, and other relevant fields of IoT, big data, data management and analytics, and security. The book is beneficial for readers from both academia and industry.

Presents recent research in cybersecurity and data science Discusses the outcomes of ICICDS 2025, held in Bengaluru, India, during June 2025 Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Dr. Syed Muzamil Basha is a distinguished professor at the REVA University, Bangalore, and Karnataka, India. He completed his postgraduate degree in Computer Science from the Vellore Institute of Technology at Vellore in 2011 and his Ph.D. in Sentiment Analysis from the Vellore Institute of Technology at Vellore in 2020. He has published more than 65 papers in refereed conferences and journals and has applied for or been granted more than 10 patents. Syed Muzamil Basha is doing his research in text analytics. The objective of his research is to address the challenges being faced in deriving critical knowledge in effective decision making. The area of interest is sentiment analysis, wireless sensor network, and Internet of Things (IOT).

Dr. Hamed Taherdoost is an award-winning leader and research and development professional. He is the founder of Hamta Group | Hamta Business Solution and associate professor and chair of Research and Scholarly Activities Committee at University Canada West. He has over 20 years of experience in both industry and academic sectors. Hamed has been an active multidisciplinary researcher and R&D specialist involved in several academic and industrial research projects. He has been working with researchers from various disciplines and has been actively engaged in different research studies.

Dr. Nebojsa Bacanin received his Ph.D. degrees from Faculty of Mathematics, University of Belgrade in 2015 (study program Computer Science, average grade 10,00). He was the vice-dean of the Graduate School of Computer Science and faculty of Informatics and Computing in Belgrade, Serbia. He currently works as a full professor and as a vice-rector for Scientific Research at Singidunum University. He is involved in scientific research in the field of computer science and his specialty includes artificial intelligence, machine learning, deep learning, stochastic optimization algorithms, swarm intelligence, soft-computing, optimization and modeling, image processing, computer vision and cloud and distributed computing. He actively works in the domain of novel and prospective research field, hybrid methods between machine learning and metaheuristics, where metaheuristics are applied for addressing non-deterministic polynomial hard (NP-hard) challenges from machine learning domain such as hyper-parameters optimization (tuning), training and feature selection.

Inhalt

Optimized IoT-Based Smart Plant Monitoring Framework Using Random Forest Classification for Precision Agriculture.- The AI-Powered Marketing Hub: A Comprehensive Platform for Marketing Transformation.- A Machine Learning-Assisted Framework to Evaluate Workplace Problems with Sentiment Analysis.- The Hypergraph Advantage: Enhancing VGG Features for Diabetic Retinopathy Detection with SVM.- Plagiarism Detection in Handwritten Documents Using CNN.- Automated Disease Prediction And Diagnosis Flowchart Generation From Medical Reports Using Nlp And Random Forest.- Query Mesh: Accelerating Journalistic Discovery from Data to Insights.- Advanced Machine learning Algorithms for Energy Prediction and Analysis in Academic Buildings.- Energy-Efficient Intrusion Detection in IoT Using TinyLSTM and Edge AI.- BLCN-Transforming Telugu Hate Speech Detection with Attention-Infused Deep Learning Models.- RetinaGuardx: A Hybrid Model with Grad CAM for Retinal Disease Detection.- DesiTrail - An AI-Powered Voice Assisted Multilingual Tourist Guide System.- Context-Aware Financial Forecasting Using Generative AI and Vector-Based Retrieval.- Cancer Prediction In HIV Affected Patients Using Machine Learning With Data Mining Techniques.- Community Unveiled: Robust Node Embeddings Via Attention-Enhanced Variational Graph Autoencoders.- Automatic GUI Code Generation via Convolutional Neural Networks from Low-Fidelity Wireframes.- Customer Segmentation Using Clustering Algorithms: Comparative Analysis.- Securing ERP with XAI: A Multi-Layered Risk Governance Model for Higher Education.- Interactive Web Application for Mental Well Being Using Machine Learning.- Enhancing Stock Market Forecasting with Hybrid Deep Learning Architectures: A Case Study on NIFTY 500.- Comparative Analysis of RNN models for Air Pollution Forecasting.- Development of Deep learning Model for Hypopigement Disease Detection.- Leveraging Transfer Learning For Multi-Label Sentiment Classification.- Digital Twin-Enabled Supply Chain Resilience: A Multi-Agent Reinforcement Learning Approach for Autonomous Network Optimization.- Text Classification with CNNs and Pre-trained Word Embeddings.- Forecasting Carbon Footprint: Temporal Fusion Transformer Modeling for Predicting CO2 Emissions in Bangladesh.- Importance of Artificial Intelligence in Finance Management.- Deepfake Detection: A Deep Learning-Based Performance and Efficiency Analysis of CNN Architectures.- Consensus Algorithm Improvements for Blockchain-Based Voting Systems: Enhancing Efficiency and Security.- A Gamified Yoga App for Posture Correction Using BlazePose Mode.- AI-Driven Hybrid Post-Quantum Cryptographic Model for Secure Data Protection in the Quantum Era.- A study on Pose Estimation Techniques for Detection and Classification of Parkinson's Disease.- Disease Identification Using Deep Learning Algorithm.- Sentiment-Based Product Recommendation Using LSTM on E-Commerce Reviews.- Integration Of Nasnetmobile And Yolov9 For Robust Waste Classification And Waste Detection.- Leveraging Handcrafted Features for Token-Level Language Detection in Code-Switched Gujarati-English Text.- Integrating Precision And Proactivity For Landslide Early Warning Systems.- A Comprehensive Analysis of IoT Attacks and Countermeasures.- Scalable Eye Disease Classification Model using Pre-Trained Models.- AI-Driven Environmental Impact Prediction for Sustainable Fashion: A Machine Learning Approach.- Multiple Classification Model for Lifestyle based Disease Prediction.- Machine Learning Based Approach For Real-Time Flight Delay Estimation.- A Sustainable Approach for Smart Gardening Using Edge Computing.- Enhanced Brain Stroke Detection Using Optimized MobileNet, DenseNet, and ResNet Architectures.- Drop Alert: Student Dropout Detection System.- Hydro pneumatic water pumping system using PLC & SCADA.- IndiArt AI: AI-Based Indian Painting Exploration System.- Hybrid Deep Learning Approaches for Fake News Detection Using TruthSeeker2023: A Comparative Study of BiLSTM and CNN-BiLSTM Architectures.- Pneumonia Detection Using Deep Learning Models With Chest X-rays.- A Novel Machine Learning Model for Parkinson's Disease Detection Using Synthetic Voice Feature Analysis.- Leveraging Machine Learning for Code Smell Diagnosis and Refactoring.- A Survey of Information Protection Techniques in Internet of Things (IoT) Systems.- Skin Cancer Classification Using Deep Learning: A Study of ResNet50 and DINOv2 Models.- XAI Framework for Hepatitis C Disease Detection Using ML and Ensemble Learning Techniques.- Gait-Based Person Recognition in Video Streaming: A Comprehensive Survey and Model Analysis.- Advanced genome disorder prediction using machine learning.