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Defeating Hardware Trojan through Software Obfuscation

Authors: MARCELLI, ANDREA; RESTIFO, MARCO; SANCHEZ SANCHEZ, EDGAR ERNESTO; SQUILLERO, GIOVANNI;

Defeating Hardware Trojan through Software Obfuscation

Abstract

In recent years a new kind of threat, known as Hard- ware Trojan, is affecting the Integrated Circuit industry. Due to the segmentation in the production, untrusted parties involved in the supply chain may illegally inject additional hardware components, that, under specific circumstances, act for malicious purposes. While it is mostly unfeasible to identify malicious hardware tampering with in-lab testing, as a remedy, several countermeasures have been proposed, mostly based on hardware alterations of the original design, with the main drawbacks of in- creased production costs, increased area and energy consumption. In this paper, we introduce a cost effective solution, completely software-based, that minimize the chance of activation of a multi- stage trigger Hardware Trojan. The proposed approach relies on a software obfuscation mechanism, which exploits evolutionary algorithms to modify an executable program without affecting its original functionalities. Such always-changing, obfuscation routine, can be used to protect critical infrastructures and operations, at a minimum and predictable loss of performances. To show the effectiveness of the proposed technique, we developed a proof-of-concept evolutionary obfuscator and we are going to test it against a well-known real-world hardware attack scenario.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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