PUBLICATIONS

K.S. Roy and F. A. Bina, "TweetGuard: Combining Transformer and Bi-LSTM Architectures for Fake News Detection in Large-Scale Tweets", International Journal of Data Science and Analysis, Vol.11, No.2, pp.23-45, 2025. [DOI]

K.S. Roy, P. B. Udas, B. Alam, and K. Paul, "Unveiling Hidden Patterns: A Deep Learning Framework Utilizing PCA for Fraudulent Scheme Detection in Supply Chain Analytics", International Journal of Intelligent Systems and Applications(IJISA), Vol.17, No.2, pp.14-30, 2025. [DOI]

K. S. Roy, T. Ahmed, Md. E. Karim P. B. Udas, S. Majumdar, “MalHyStack: A Hybrid Stacking Ensemble Learning Framework with Feature Engineering Schemes for Obfuscated Malware Analysis,” Intelligent Systems with Applications, vol. 20, p. 200283, Oct. 2023. [DOI]

K. S. Roy and S. M. R. Islam, “An RNN-based Hybrid Model for Classification of Electrooculogram Signal for HCI”, International Journal of Computing, vol. 22, no. 3, pp. 335-344, Oct. 2023. [DOI]

P. B. Udas, Md. E. Karim, and K. S. Roy, “SPIDER: A shallow PCA based network intrusion detection system with enhanced recurrent neural networks,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 10, pp. 10246–10272, Nov. 2022. (IF: 8.839, Acceptance Rate: 6%) [DOI]

K. S. Roy, Md. E. Karim, and P. B. Udas, “Exploiting Deep Learning Based Classification Model for Detecting Fraudulent Schemes over Ethereum Blockchain,” 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE, 17-18 December 2022. [Acceptance Rate 38%] [DOI]

P. B. Udas, K. S. Roy, and Md. E. Karim, “Attention-Based RNN Architecture for Detecting Multi-Step Cyber-Attack using PSO Metaheuristic,” 2023 3rd International Conference on Electrical, Computer & Communication Engineering (ECCE), IEEE, 23-25 February 2023. [Acceptance Rate 39%] [DOI]