Jai Gopal Pandey

dblp:141/0631 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
0000-0001-9937-7438ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 3 since 2021Security and privacy · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Energy and performance efficient NAND flash translation layer architecture for low-latency edge applications
Ranjeeth Sekhar, Diksha Shekhawat, Jugal Gandhi, M. Santosh, Jai Gopal Pandey
J. Parallel Distributed Comput.5
2025 DyLock: A Dynamic Key-based SAT and Structural Attacks Resilient Low-overhead Logic Locking
abstract
Recent advances in secure integrated circuit design with logic locking have identified structural and algorithmic vulnerabilities that compromise various defenses to retrieve the correct secret key. Most defense techniques use static keys and incur a relatively high design overhead. This paper presents a novel dynamic key-based logic locking technique (DyLock) to improve resilience against Boolean satisfiability (SAT) and structural attacks while maintaining low design overhead. DyLock employs a nonlinear substitution-based key generator and counter-based architecture to produce a dynamic key sequence from static key bits. It significantly increases the SAT solver’s key search space and presents low key prediction accuracy for SWEEP and SCOPE attacks. An experimental evaluation using the ISCAS’85, ISCAS’89, and ITC’99 benchmark with 16/32/64-bit keys, DyLock demonstrates reduced area and power overheads compared to existing attack-resistant locking schemes. The proposed technique offers a balance between overhead and security, strengthening the locking against algorithmic and structural attacks.
Jugal Gandhi, Diksha Shekhawat, Jaya Dofe, Jai Gopal Pandey
ISCAS4
2024 Large Language Model Driven Logic Locking: A Generative Approach to Secure IC Design
abstract
Logic locking has emerged as a critical solution for secure integrated circuit design, protecting hardware intellectual property from reverse engineering, piracy, and unauthorized access. Recently, large language models (LLMs) and generative model-based logic locking emerged to automate the obfuscation process and enhance security in hardware designs. Prior research on generative pre-trained transformer-based logic obfuscation faces challenges with prompt retention and circuit connectivity in larger designs. This article presents an iterative prompt-based framework that refines the generated netlist over multiple iterations to generate an obfuscated design. Experimental evaluation demonstrates the framework’s effectiveness in generating an obfuscated netlist. The article discusses the research challenges of LLM-based logic locking and outlines future work to develop a scalable and efficient framework for secure hardware designs.
Jugal Gandhi, Diksha Shekhawat, M. Santosh, Jaya Dofe, Jai Gopal Pandey
ATS5
2023 Logic locking for IP security: A comprehensive analysis on challenges, techniques, and trends
Jugal Gandhi, Diksha Shekhawat, M. Santosh, Jai Gopal Pandey
Comput. Secur.4