Proceedings of the Eleventh International Conference on Mathematics and Computing

ICMC 2025, Volume 2
Herausgegeben:Giri, Debasis; Ray, Indrakshi; Ponnusamy, S.; Verma, Rakesh M.; Joshi, James B D.

• Broschiertes Buch

Produktbeschreibung

This book features selected papers from the 11th International Conference on Mathematics and Computing (ICMC 2025), held at IIT Bhilai, India during January 09 11, 2025. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cyber security, machine learning, data analytics and blockchain technology in computer science and information technology. The book is divided into two volumes.

Produktdetails

• Lecture Notes in Networks and Systems 1404
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-6350-7
• Seitenzahl: 500
• Erscheinungstermin: 19. September 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819663507
• ISBN-10: 9819663504
• Artikelnr.: 73722863

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 is tenth all India rank holder in Graduate Aptitude Test in Engineering in 1999. 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 & Analysis of Algorithms. Indrakshi Ray is Professor in the Computer Science Department at Colorado State University. She is Director of Colorado Center for Cyber Security at Colorado State University. She is also Site Director of NSF IUCRC Center for Cyber Security Analytics and Automation. She has been Visiting Faculty at Air Force Research Laboratory, Naval Research Laboratory, and at INRIA, Rocquencourt, France. She obtained her Ph.D. in Information Technology from George Mason University. Dr. Ray's research interests include  software assurance, data analytics and security.   Dr. S. Ponnusamy  is currently  Chair Professor at IIT Madras  and  President of the Ramanujan Mathematical Society, India.  His research interest includes complex analysis,   special functions, and functions spaces.   He served five years as Head of the Indian Statistical Institute, Chennai Centre. He is Chief Editor of the Journal of Analysis and serves as Editorial member for many  peer-reviewed international  journals. He has written five  text books  and has edited several volumes, and international conference proceedings.  He has solved several long-standing open problems and conjectures and published more than 300 research articles in reputed international journals. He has been Visiting Professor to a  number of universities in abroad. Rakesh M. Verma is currently Professor of computer science with the University of Houston (UH). He is the coauthor of Cybersecurity Analytics (CRC Press, 2019), which discusses key data analysis techniques for cybersecurity challenges. He has co-organized the 1st Anti-phishing Shared Task, in 2018 with proceedings in the CEUR workshop series. Since 2015, he has been co-organizing the ACM International Workshop on Security and Privacy Analytics. He was the PC Co-chair of ACM CODASPY in 2021 and 2022 and the 2023 National Science Foundation-Fulbright Distinguished Professor of Cybersecurity at the University of Iceland. He is Associate Editor of Frontiers of Big Data for the Cybersecurity Area and was ACM Distinguished Speaker. He received the Lifetime Mentoring Award from UH in 2013. His research papers have won several Best Paper Awards.  Dr. James Joshi is Professor of School of Computing and Information at the University of Pittsburgh, and Director/Founder LERSAIS at Pitt. From 2019 to August 31, 2023, he served as Program Director of the Secure and Trustworthy Cyberspace (SaTC) program at the NSF and currently serves as “Expert” in TIP Directorate.  He is IEEE Fellow, ACM Distinguished Member, Fellow of Asia-Pacific Artificial Intelligence Association, Fellow of Society of Information Reuse and Integration, and IEEE CS Golden Core member. His research is focused broadly on cybersecurity and privacy areas. He is a recipient of the NSF CAREER award in 2006.

Inhaltsangabe

An Improved Collusion Resistant Certificateless Aggregate Signature Scheme for VANETs.- Hybrid Chaotic Image Encryption with Non-Linear Feedback Shift Register and Key-Sensitive S-Box.- A fusion 2D Logistic-cosine-sine Map based Secure Colour Image Communication.- The First and Second Kinds of Thabit Numbers Expressed as Sums, Differences or Products of Two Generalized Lucas Sequences.- Shadower-Shadowee Dynamics in Target Tracking: A Honey Bee Brain-Guided Control System.- A Comprehensive Study of Glioma Brain Tumor Detection with Combined Deep Learning Models LSTM and Bi-LSTM.- A Simplified Attribute-Based Signature Scheme Using RSA Algorithm.- CNN Based Response Adaptive Randomization for Treatment Allotment Using Biomarker Information.- Deep Learning based Distinguisher of Stream Ciphers.- Malware Classification using Kolmogorov-Arnold Network.- Optimizing Authentication Path Computation time in the Merkle Signature Scheme for Post-Quantum Security.- ViT-RES: Attention Exploitation for Breast Cancer Image Classification.- Deep Learning based Multiclass Classification of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images.- Deep Learning based Multiclass Classification of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images.- Solving Percentage-based Financial Word Problems.- Local convergence analysis of a family of third order iterative methods using majorant function in Riemannian Manifold.- A Hybrid Improved Particle swarm optimization and Genetic algorithm for energy efficient task offloading in Industrial IoT.- Non-modal Linear Stability Analysis of Fluid Flow in a Rotating Channel Containing Porous Media.- A Robust Regression Estimation Technique Using Direct Weights Based on Median.- Game Theory-based Resource Allocation in Edge Environment.- Effect of interfacial imperfection on Love wave propagation in flexomagnetic composite.- AI-Optimized EV Battery Management with Solar and Swapping.- Ramanujan-Hardy-Littlewood Type Identity Involving Modified Bessel's Function.- Real Paley-Wiener theorem for multi-dimensional quadratic phase Fourier transform.- Simplified High-Performance Approach for Optic Disk Segmentation from Fundus Image.- Weighted-II least square algorithm and its consistency.