Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17171
Title: HLS Trojan Classification and Its Detection Techniques for CAD-Based IP Designs
Authors: Sengupta, Anirban
Chourasia, Vishal
Bhui, Nabendu
Issue Date: 2025
Publisher: IEEE Computer Society
Citation: Sengupta, A., Chourasia, V., & Bhui, N. (2025). HLS Trojan Classification and Its Detection Techniques for CAD-Based IP Designs. IT Professional, 27(5), 66–74. https://doi.org/10.1109/MITP.2025.3584043
Abstract: This article presents a comprehensive coverage on Trojan classification and its detection techniques for CAD high-level synthesis (HLS) based intellectual property (IP) designs. The presented article highlights the state-of-the-art IP (hardware) Trojan types, their covert insertion sites in the design process, their payloads, as well as the detective countermeasure employed in the literature. The article also succinctly describes the threat model tackled in each HLS-IP Trojan detection technique along with its approach/functionality. The article finally provides a qualitative and quantitative analysis of each Trojan detection technique along with its comparison. © 2025 Elsevier B.V., All rights reserved.
URI: https://dx.doi.org/10.1109/MITP.2025.3584043
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/17171
ISSN: 1520-9202
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

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