Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4984
Title: Low cost optimized Trojan secured schedule at behavioral level for single & Nested loop control data flow graphs (Invited Paper)
Authors: Sengupta, Anirban
Roy, Dipanjan
Keywords: Costs;Data flow analysis;Data flow graphs;Data transfer;Flow graphs;Graphic methods;Hardware;High level synthesis;Internet of things;Internet protocols;Malware;Design productivity;Intellectual property cores;Internet of Things (IOT);Loop, CDFGs;Low costs;Security;Security constraint;Trojans;Hardware security
Issue Date: 2017
Publisher: Elsevier B.V.
Citation: Sengupta, A., Roy, D., & Bhadauria, S. (2017). Low cost optimized trojan secured schedule at behavioral level for single & nested loop control data flow graphs (invited paper). Integration, the VLSI Journal, 58, 378-389. doi:10.1016/j.vlsi.2016.09.007
Abstract: Internet of Things (IoT) powered by high level synthesis (HLS) provides huge opportunity of progress in the area of hardware design. However, the present era of hardware design involves globalization which poses security threat to the design integrators that rely on third party intellectual property (IP) cores for increasing design productivity at reduced design time. This paper presents for the first time in the literature, a low cost optimized hardware Trojan secured HLS approach for hardware (or application specific core) designs that is based on single or nested loop control data flow graphs (CDFG) applications. The paper presents multiple novel vendor allocation schemes (each with its own attribute of delay and area) as security constraint that yield Trojan secured schedules at behavioral level. Demonstration of the proposed approach on a nested loop case study asserts our proposed theory. Results on standard benchmarks indicate significant reduction in final solution cost compared to a similar approach. © 2016 Elsevier B.V.
URI: https://doi.org/10.1016/j.vlsi.2016.09.007
https://dspace.iiti.ac.in/handle/123456789/4984
ISSN: 0167-9260
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

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