A region based approach for the identification of hardware Trojans

Banga, Mainak; Hsiao, Michael S.

doi:10.1109/hst.2008.4559047

Cited by 208 publications

(97 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Side-channel approaches of detecting Trojans belong to a class of generic powerful techniques for IC authentication, and are conceptually applicable to Trojans of all operational modes and to designs of arbitrary size and complexity. Only local activation of the Trojans is sufficient to detect them, and methods have been proposed to maximize the possibility of locally activating Trojans [9]. However, there are two main issues with the side-channel based approaches that limit their practical applicability:…”

Section: Trojan Detection: Previous Workmentioning

confidence: 99%

See 1 more Smart Citation

MERO: A Statistical Approach for Hardware Trojan Detection

Chakraborty

Wolff

Sauseng

et al. 2009

Lecture Notes in Computer Science

313

154

View full text Add to dashboard Cite

Abstract. In order to ensure trusted in-field operation of integrated circuits, it is important to develop efficient low-cost techniques to detect malicious tampering (also referred to as Hardware Trojan) that causes undesired change in functional behavior. Conventional postmanufacturing testing, test generation algorithms and test coverage metrics cannot be readily extended to hardware Trojan detection. In this paper, we propose a test pattern generation technique based on multiple excitation of rare logic conditions at internal nodes. Such a statistical approach maximizes the probability of inserted Trojans getting triggered and detected by logic testing, while drastically reducing the number of vectors compared to a weighted random pattern based test generation. Moreover, the proposed test generation approach can be effective towards increasing the sensitivity of Trojan detection in existing side-channel approaches that monitor the impact of a Trojan circuit on power or current signature. Simulation results for a set of ISCAS benchmarks show that the proposed test generation approach can achieve comparable or better Trojan detection coverage with about 85% reduction in test length on average over random patterns.

show abstract

Section: Trojan Detection: Previous Workmentioning

confidence: 99%

“…the ones with few logic gates. Thus, the technique can be used as complementary to the side-channel Trojan detection approaches [1,9,10,11] which are more effective in detecting large Trojans (e.g. ones with area > 0.1% of the total circuit area).…”

Section: Introductionmentioning

confidence: 99%

MERO: A Statistical Approach for Hardware Trojan Detection

Chakraborty

Wolff

Sauseng

et al. 2009

Lecture Notes in Computer Science

313

154

View full text Add to dashboard Cite

show abstract

“…Banga and Hsiao developed a two-stage test generation technique that targets magnifying the difference between the IUA and the genuine design power waveforms. 19 In the first stage (circuit partitioning), a region-aware pattern helps identify the potential Trojan insertion regions.…”

Section: Trojan Activation Methodsmentioning

confidence: 99%

A Survey of Hardware Trojan Taxonomy and Detection

Tehranipoor

Koushanfar

2010

IEEE Des. Test. Comput.

1,104

283

View full text Add to dashboard Cite

“…Banga et al [4,3] propose a region-based testing that first identifies the problematic regions based on power signatures and then performs more tests on the region. The underlying mathematical and logical circuit structure or the process variations are not considered.…”

Section: Related Workmentioning

confidence: 99%

A Unified Submodular Framework for Multimodal IC Trojan Detection

2010

View full text Add to dashboard Cite

Abstract. This paper presents a unified formal framework for integrated circuits (IC) Trojan detection that can simultaneously employ multiple noninvasive measurement types. Hardware Trojans refer to modifications, alterations, or insertions to the original IC for adversarial purposes. The new framework formally defines the IC Trojan detection for each measurement type as an optimization problem and discusses the complexity. A formulation of the problem that is applicable to a large class of Trojan detection problems and is submodular is devised. Based on the objective function properties, an efficient Trojan detection method with strong approximation and optimality guarantees is introduced. Signal processing methods for calibrating the impact of inter-chip and intra-chip correlations are presented. We propose a number of methods for combining the detections of the different measurement types. Experimental evaluations on benchmark designs reveal the low-overhead and effectiveness of the new Trojan detection framework and provides a comparison of different detection combining methods.

show abstract

A region based approach for the identification of hardware Trojans

Cited by 208 publications

References 10 publications

MERO: A Statistical Approach for Hardware Trojan Detection

MERO: A Statistical Approach for Hardware Trojan Detection

A Survey of Hardware Trojan Taxonomy and Detection

A Unified Submodular Framework for Multimodal IC Trojan Detection

Contact Info

Product

Resources

About