Data Mining and Information Security
Description
This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2025) held in Phnom Penh in collaboration with Eminent College of Management & Technology (ECMT) and University of Puthisastra, Cambodia, during October 7-8, 2025. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.
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Persons
Dr. Abhishek Bhattacharya is Professor at Sister Nivedita University, India. He has completed his Ph.D (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, CIIR 2024, ICDMIS 2024. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents and 20 books.
Dr. Soumi Dutta isProfessor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D(CST), IIEST, Shibpur. She received her B.Tech(IT) and M.Tech(CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis and Image Processing. She has published more than 70 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 45 Books and Book Chapters in Taylor & Francis Group and IGI Global. She is peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as CSI, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 10 patents and 1 copyright. Dr. Soumi Dutta has delivered 43 Keynote talks in Different International Conferences. She has been awarded with Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, International Teacher Award 2020-21 by the Ministry of MSME, Government of India.
Intan Ermahani A. Jalil received the BSc degree in Computer from Universiti Teknologi Malaysia (UTM), Malaysia, the MSc degree in Software Engineering from the University of Brighton, UK and Ph.D degree in Computer from Universiti Teknologi Malaysia (UTM), Malaysia, in 2003, 2004 and 2017 respectively. She is currently a Senior Lecturer in Faculty of Information and Communication Technology (FTMK) of Universiti Teknikal Malaysia Melaka (UTeM), Malaysia. Her research interests include the area of features ranking, handwriting identification, image processing, pattern recognition, software development, software testing and software project management.
Álvaro Rocha is World's Top 1% Scientist by Stanford University (USA) and Elsevier, and World's Top 1% Scientist by ResearchGate for the domains of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA - Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science.
Content
BLOCKCHAIN Fraud Detection Using Graph Neural Network.- Convolutional Neural Networks for Foliar Disease Diagnosis in Horticulture Crops: A Critical Review.- Federated Generative AI with Explainable Stochastic Optimization for Secure and Scalable Edge Intelligence.- An Enhanced Histogram-Based Technique for Drone Image Quality in Defense Intelligence.- Empowering Emotion Detection in Bengali Speech with Hybrid Neural Networks.