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Description
The book features original research papers presented at International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2025), organized by Allenhouse Institute of Technology, Kanpur, India during 20-22 December 2025. This conference proceeding provides understanding of core concepts of cryptology and network security with ML in data communication. The book covers research papers in public key cryptography, elliptic curve cryptography, post-quantum cryptography, lattice based cryptography, non-commutative ring-based cryptography, cryptocurrency, authentication, key agreement, Hash functions, block/stream ciphers, polynomial-based cryptography, code-based cryptography, NTRU cryptosystems, security and privacy in machine learning, blockchain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.
On Selecting the Post-Quantum Zero-Knowledge Protocols Using Picture Fuzzy Sets and TOPSIS Decision-Making.- A Pythagorean Fuzzy TOPSIS Approach Incorporating Entropy-Weighted Hellinger Distance for Risk Assessment in Wireless Sensor Networks.- Framework for Secure and Transparent Healthcare Data Management using Elliptic Curve and Blockchain.- Revitalizing Ancient Writing Systems: A Deep Learning Model for The Kaithi Script.- zk-SNARK Based Proxy Signature.- Bridging Content and Collaborative Filtering:A Hybrid Recommendation Framework Using TF--IDF and SVD.- Artificial Intelligence and Machine Learning for Threat Detection in Cloud Security.- A Study to Cryptocurrency Wallet Investigation: A Survey of Cryptocurrency Wallet Investigation.- Enhancing Decision-Making in Industry 4.0: The Role of Power BI in Big Data and Business Intelligence .- FlightFence: Lightweight Geofencing-Aware Credential Rotation for Secure Drone Operations in Shared Airspace.- Deep Convolutional Neural Network for Automated Melanoma Detection Using Dermoscopic Images.- Enhancing Network Security through Machine Learning: A Comprehensive Approach to Detecting and Mitigating Cyber Threats.- Implementing a Messaging App Chat Data Analyzer using Machine Learning Fusion and the Quaternion Method.- BacNet: A Deep Learning Ensemble Framework by Combining EfficientNet-B2 and ResNet-50 for Foodborne Bacteria Classification.- TimeX-GNN for Cyber Threat Detection.-Crypto-Agile Secure Digital Signature Framework Using BB84 QKD for IoMT Medical Devices.- etc.
Atul Chaturvedi is currently working as a professor in Mathematics and additional director at Allenhouse Institute of Technology (AIT), Kanpur, India. He holds Ph.D. in Algebraic Cryptography, with research interests focused on cryptography and network security protocols, particularly lattice-based and non-commutative ring-based cryptographic schemes. He is a life member of Cryptology Research Society of India (CRSI), Indian Society for Technical Education (ISTE), and Indian Science Congress Association (ISCA). He has published various books, research papers in reputed journals, and a reviewer of many International journals. He is actively involved in organizing workshops, faculty development programs, and international conferences in collaboration with reputed organizations such as DRDO, CRSI, AICTE, ISTE, and others. He is the copyright owner of many cryptographic algorithms (from Department of Industrial policy and promotion, Ministry of Commerce, Government of India). He has/is guided/guiding many doctoral research fellows in the area of Cryptography and Network Security.
Bimal Kumar Roy is a former director of the Indian Statistical Institute (ISI), Kolkata. He is the founder and the general-secretary, Cryptology Research Society of India (CRSI). He received B.Stat and M.Stat degrees from Indian Statistical Institute, Kolkata. He received Ph.D. in Combinatorics and Optimization in 1982 from the University of Waterloo under the joint supervision of Ronald C. Mullin and Paul Jacob Schellenberg. His current research interests include Cryptology, Information Security, Combinatorics, Applied Statistics etc. In 2015, he was awarded Padma Shri, India s fourth-highest civilian honor, recognizing his accomplishments and contribution to education. In 2019, he was appointed as the chairperson of the National Statistical Commission, Ministry of Statistics and Programme Implementation, Government of India. He has been a driving force in advancing the important field of cryptology in India, elevating its visibility to international level. He devoted his career to strengthening India s standing in this timely, fast advancing field.
Boaz Tsaban is an Israeli mathematician at the faculty of Bar-Ilan University working as a capacity of professor. His research interests include selection principles within Set Theory and Nonabelian Cryptology, within Mathematical Cryptology. At the age of 16, he was selected with other high school students to attend the first cycle of a special preparation program in mathematics, at Bar-Ilan University, being admitted to regular mathematics courses at the university a year later. He has completed his B.Sc., M.Sc., and Ph.D. degrees with highest distinctions. Two years as a post-doctoral fellow at Hebrew University were followed by a three-year Koshland Fellowship at the Weizmann Institute of Science before he joined the Department of Mathematics, Bar-Ilan University, in 2007. Tsaban s doctoral dissertation, supervised by Hillel Furstenberg, won, with Irit Dinur, the Nessyahu prize for the best Ph.D. in mathematics in Israel in 2003. In 2009, he won the Wolf Foundation Krill Prize for Excellence in Scientific Research.
