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Sreeja Rajendran

dblp:233/8319 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
0000-0002-0062-3158ORCID · corroborated

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

Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Network and information security
1 paper
Hardware security and side channels · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware security and side channels › hardware trojan
hardware trojan detection
0.612022
A Novel Algorithm for Hardware Trojan Detection Through Reverse Engineering · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation › hardware verification and test › hardware verification
hardware trojan detection
0.612022
A Novel Algorithm for Hardware Trojan Detection Through Reverse Engineering · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation
hardware verification and test
0.612022
A Novel Algorithm for Hardware Trojan Detection Through Reverse Engineering · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022

Methods — techniques the papers use, named apart from their topics

testability analysis · 1.1path retrace algorithm · 1.1
YearPublicationVenuePosition
2024 Enhancing SRAM Array Security Through Transmission Gate-Based Logic Obfuscation
abstract
Logic obfuscation is a crucial technique in hardware security aimed at shielding integrated circuits (ICs) from threats such as reverse engineering and intellectual property theft. This research introduces an innovative approach by incorporating transmission gates into logic obfuscation mechanisms to bolster security within SRAM arrays. We propose and implement a distinctive locking mechanism utilizing transmission gates, applied to the word lines of a 4x4 SRAM array. This mechanism effectively regulates access to the memory cells, ensuring that data can only be read or written with the correct key input. To assess the efficacy of our approach, we evaluate the transistor count, power consumption, write access time, and read access time of the obfuscated SRAM array in comparison to a conventional, non-obfuscated SRAM array. Our experimental results reveal that, although the locking mechanism leads to a slight increase in power consumption, write access time, and read access time, these changes are minimal and within the range of typical circuit variations. The proposed method significantly enhances SRAM array security with only a marginal impact on performance, demonstrating its potential for safeguarding sensitive data in digital systems
Bhavin Bhavani, Anupam Mathur, Sreeja Rajendran, Vinay S. Palaparthy, Yash Agrawal
ATS3
2022 A Novel Algorithm for Hardware Trojan Detection Through Reverse Engineering
abstract
Malicious alteration in an IC design is generally referred to as hardware Trojans (HTs). The involvement of multiple entities in the VLSI design cycle has made the process of HT detection very challenging. This article presents a novel method for the detection of HT at the gate level of abstraction. A path retrace algorithm detects the nets added/deleted by an adversary along with its location. The netlists of the genuine circuit (design netlist) and the Trojan-inserted circuit are used by the algorithm to detect the malicious nets in the circuit. This method utilizes testability analysis as the metric for segregating malicious nets in the compromised circuit netlist. Netlist of the fabricated IC, which is obtained through reverse engineering and the design netlist of the original circuit are used to determine the testability parameters, such as controllability and observability of the nets. Based on the variation in testability metrics of a signal in the original circuit, the path retrace algorithm identifies the malicious gates inserted into the original circuit. In addition, the algorithm also helps to isolate the Trojan circuit and comprehend its functional implication on the original design. Using the list of malicious gates and compromised circuit netlist, it is possible to identify the Trojan nets inserted by the adversary. This technique is more effective in detecting functional Trojans as compared to techniques employing reverse engineered images as it is design parameter independent and impervious to noise.
Sreeja Rajendran, Mary Lourde Regeena
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1