Proceedings of International Conference on Network Security and Blockchain Technology

Icnsbt 2025
Herausgegeben:Giri, Debasis; Kambourakis, Georgios; Islam, Sk Hafizul; Srivastava, Gautam; Maitra, Tanmoy

• Broschiertes Buch

Produktbeschreibung

The book is a collection of best selected research papers presented at International Conference on Network Security and Blockchain Technology (ICNSBT 2025), held at Haldia Institute of Technology, Haldia, West Bengal, India, during January 14 16, 2025. The book discusses recent developments and contemporary research in cryptography, network security, cybersecurity, and blockchain technology. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.

Produktdetails

• Lecture Notes in Networks and Systems 1405
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-6347-7
• Seitenzahl: 400
• Erscheinungstermin: 14. September 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819663477
• ISBN-10: 9819663474
• Artikelnr.: 73722563

Autorenporträt

Dr. Debasis Giri is at present Associate Professor in the Department of Information Technology of Maulana Abul Kalam Azad University of Technology (formerly known as West Bengal University of Technology), West Bengal, India, prior to Professor (in computer science and engineering) and Dean (in School of Electronics, Computer Science and Informatics) of Haldia Institute of Technology, Haldia, India. He did his masters (M.Tech. and M.Sc.) both from IIT Kharagpur, India, and also completed his Ph.D. from IIT Kharagpur, India. He received IEEE Consumer Technology Society Chester Sall Memorial Award in 2023. He has published more than 100 papers in international journal/conference. His current research interests include cryptography, information security, blockchain technology, e-commerce security, and design and analysis of algorithms. He is Editorial Board Member and Reviewer of many International Journals. He is also Program Committee Member of international conferences. Dr. Georgios Kambourakis is Full Professor at the Dept. of Information and Communication Systems Engineering, University of the Aegean, Greece. His research interests are in the fields of mobile and wireless networks security and privacy, VoIP security, IoT security and privacy, DNS security, and security education, and he has more than 170 refereed publications in the aforementioned areas. His research has led to more than 27 new CVEs, half of them classified as being of critical or high severity level. He serves in the editorial board of IEEE Communications Surveys and Tutorials, Journal of Information Security and Applications (Elsevier), Journal of Computers & Electrical Engineering (Elsevier), International Journal of Information Security (Springer), Security and Privacy (Wiley). He has been involved in several national and EU funded R&D projects in the areas of information and communication systems security. He is Reviewer for a plethora of IEEE and other international journals. SK Hafizul Islam received the M.Sc. degree in applied mathematics from Vidyasagar University, India, in 2006, and the M.Tech. degree in computer application and the Ph.D. degree in computer science and engineering in 2009 and 2013, respectively, from Indian Institute of Technology [Indian School of Mines] Dhanbad, Jharkhand, India, under the INSPIRE Fellowship Ph.D. Program (funded by the Department of Science and Technology, Government of India). He is currently Assistant at Indian Institute of Information Technology Kalyani (IIIT Kalyani), West Bengal, India. Before joining the IIIT Kalyani, he was Assistant Professor at BITS Pilani, India. He has authored or co-authored 150 research papers in international journals and conference proceedings. His research interests include cryptography, information security, lattice-based cryptography, IoT and blockchain security, and deep learning. He has edited four books for the publishers Scrivener-Wiley, Elsevier, and CRC Press. He is Senior Member of IEEE and Member of ACM. Gautam Srivastava (Senior Member, IEEE) received the B.Sc. degree from Briar Cliff University, USA, in 2004, and the M.Sc. and Ph.D. degrees from the University of Victoria, Victoria, BC, Canada, in 2006 and 2012, respectively. Then, he taught for three years with the Department of Computer Science, University of Victoria, where he was regarded as one of the top undergraduate professors in computer science course instruction. From there in 2014, he joined a tenure-track position at Brandon University, Brandon, MB, Canada, where he is currently active in various professional and scholarly activities. He was promoted to the rank of Professor in 2023. He, as he is popularly known, is active in research in the field of data mining and big data. In his eighth-year academic career, he has published a total of 50 papers in high-impact conferences in many countries and high-status journals (SCI and SCIE). Dr. Tanmoy Maitra is Assistant Professor in the School of Computer Engineering at KIIT Deemed to be University, Bhubaneswar-751024, Odisha, India. He did his Ph.D. from the Department of Computer Science and Engineering, Jadavpur University, Kolkata-700032, India, in 2020. He passed M.Tech. and B.E. from West Bengal University of Technology, West Bengal, in 2013 and Burdwan University in 2009, respectively. He qualified GATE 2011 and GATE 2012. He received IEEE Consumer Technology Society Chester Sall Memorial Award in 2023. He has published about 50 international journal and conference articles in the domain of wireless sensor networks (WSNs), body area network (BAN), and authentication system for several applications. He served as TPC Member and Track Chair of several conferences. He was Organizing and Finance Chair of ICMC 2019 and Organizing Chair of CINE 2022, CINE 2024, and OCIT 2022. His research interest includes wireless sensor networks, body area network, and information security.

Inhaltsangabe

FPGA Implementation of LSB Steganography Without Multiplier and Divider.- Cryptanalysis and improvement on low cost CL-ASS for wireless sensor networks.- Image Steganography with Efficient Utilization of Difference of Gaussian Edge Detection and Dilation.- LBP based Robust medical image watermarking in wavelet domain.- Cryptanalysis over Xu et al. s CLAS scheme for VANETs.- Optimizing Cybersecurity Defences: Leveraging YARA Rules for Enhanced Detection of Custom PDF Spyware.- Template security in Biometrics system for fingerprint minutiae templates using Fuzzy vault method.- A Multilingual PDF Text-to-Speech Converter with Translation Capabilities.- An Image Watermarking approach using Hybrid GWO-GA in IWT Domain.- Developing a Secure Authentication and Key Agreement Protocol for Internet of Vehicles (IOV) Utilizing 5G Networks.- On Detection of Phishing URLs using Plant Propagation Algorithm.- Phishing URL Detection via Machine Learning: A Comprehensive Survey.- A Novel Synonym-Based Attack Algorithm for Generating Undetectable Adversarial Text Examples in Machine Learning.- Open-Audit: Enhancing Software Compliance with Blockchain and Zero-Knowledge Proofs.- Privacy-Preserved Efficient Contact Tracing in Contact Graph Components of Body Area Networks using Blockchain.- Integration of Blockchain to Internet of Things (IoT).- Anomaly Detection in IoT Networks Using WGAN-GP: A Novel Approach for Robust IoT Security.- Urban Resilience: Using Autoencoder-Decoder LSTM Model with Green Roofs and Vertical Gardens to Combat Air Pollution.- Smart Cities' Clean Air: Federated Bidirectional Long Short-term Memory for Enhanced Air Quality Index Forecasting.- Min-Cart: An Eco-Friendly Approach to Minimize Air Pollution and Carbon Footprint.- Augmented Transfer Learning for Skin Cancer Detection: Enhancing Accuracy using Edge Detection.- Advanced Brain Tumor Classification with UNet Segmentation and Deep Maxout Classifier Techniques.- Enhancing Classification of Gemstones through Deep Learning Analysis: A Comparative Study.- LSTM-Based Image Enrichment and Description Generation to Enhance Visual Perception for Visually Challenged People.- Deforestation Detection Using Domain Adversarial Neural Network.- GeoLands: Machine Learning-Powered Landslide Risk Assessment.- Performance Improvement of an Automated Alzheimer Classification System.- Integrated Energy-Efficient Air Pollution Prediction and Control Framework.- Automatic Detection and Classification of Brain Tumors Using Deep Learning Model.