1. Secure Execution of Sensitive Applications by Eliminating Cache Side Channel Attacks using Near Memory Computation Paradigm

• Funding Agency: ASTEC, Govt of Assam | Host institute: IIIT Guwahati

2. Blockchain-Assisted Confidence-Aware Task Offloading and Resource Allocation for Deep Learning Application in Mobile Cloud Computing

• Funding Agency: ANRF-PAIR | Host institute: IIIT Guwahati

• [J1] Nath, P., Mushahary, J. R., Roy, U., Brahma, M., & Singh, P. K. (2023). AI and Blockchain-based source code vulnerability detection and prevention system for multiparty software development. Computers and Electrical Engineering, 106, 108607.

• [C1] Nath, P., Singh, P. K., Kalla, A., & Brahma, M. (2023, January). VNFTestChain: Blockchain based test framework for trusted VNF services in 5G and B5G. In 2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS) (pp. 495-497). IEEE.

• [C2] Singh, P. K., Brahma, M., Nath, P., & Ghosh, U. (2023, May). A study on secure network slicing in 5G. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) (pp. 52-61). IEEE.

• [B1] Nath, P., & Pandey, P. S. (2025). A Study on Machine Learning and Blockchain-Based Techniques for Transparent VNF Testing for 5G and B5G Networks. In Blockchain Technology for Cyber Defense, Cybersecurity, and Countermeasures (pp. 139-160). CRC Press.

• [B2] Choudhury, B., Singh, P. K., Nath, P., Roy, U., & Kalla, A. (2025). Blockchain and Smart Contract for Decentralized and Secure Spectrum Management Toward 6G–Beyond Hype. Intelligent Spectrum Management: Towards 6G, 211-236.

• [TD1] Nath, P. (2025). The joy and pain of security in the era of generative AI, 5G, and beyond networks. NIST University

• [P1] Nath, P. & Ghose, M. (2025). Blockchain-Assisted Confidence-Aware Task Offloading and Resource Allocation for Deep Learning Application in Mobile Cloud Computing. SPACE 2025 @ IIT Guwahati( Poster presented)

• [C3] NP Mohapatra, P Nath, SR Pattanaik (2025). PriBraTFedDL: Federated Deep Learning for Privacy-Preserving Brain Tumor Diagnosis. In 1st International Conference on Intelligent Computing, Cognitive Networks, and Smart Systems (IC2NS2)-2026 (Presented, Publication awaiting)

• [B3] Roy D., Nath, P. & Ghose, M. (2026) Performance and energy-aware deep learning workload deployment on resource-constrained edge devices. Handbook of Embedded Machine Learning: Cyber-Physical, IoT, and Edge Computing -26.

Check my profile at https://panchanannath.github.io