A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection

Koushanfar, Farinaz; Mirhoseini, Azalia

doi:10.1109/tifs.2010.2096811

Cited by 100 publications

(39 citation statements)

References 35 publications

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“…For tracking, FV results in larger uncertainty in the estimated thermal profile [15]. For Trojan detection, FV makes it difficult to distinguish between deviations in power/temperature due to manufacturing and Trojan presence [3]. In our approach, calibration is performed for each IC to ensure robustness in the face of FV.…”

Section: B Relationship Between Power and Temperaturementioning

confidence: 99%

“…One can accomplish this by applying test vectors to the ICUT, measuring power consumption, and estimating the pdfs after fabrication. For example, gatelevel characterization has been applied in prior work [3] to successfully profile IC gate parameters. Temperature-based approaches which utilize infra-red cameras and Expectation Maximization are also applicable [17].…”

Section: B Test Phasementioning

confidence: 99%

“…Trojans are often triggered by extremely rare events. Finally, measurement noise and fabrication variation can mask Trojan presence [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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Temperature tracking: An innovative run-time approach for hardware Trojan detection

Forte

Bao

Srivastava

2013

2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

106

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Isr develops, applies and teaches advanced methodologies of design and analysis to solve complex, hierarchical, heterogeneous and dynamic problems of engineering technology and systems for industry and government.Isr is a permanent institute of the university of maryland, within the a. James clark school of engineering. It is a graduated national science foundation engineering research center. Abstract-The hardware Trojan threat has motivated development of Trojan detection schemes at all stages of the integrated circuit (IC) lifecycle. While the majority of existing schemes focus on ICs at test-time, there are many unique advantages offered by post-deployment/run-time Trojan detection. However, run-time approaches have been underutilized with prior work highlighting the challenges of implementing them with limited hardware resources. In this paper, we propose innovative lowoverhead approaches for run-time Trojan detection which exploit the thermal sensors already available in many modern systems to detect deviations in power/thermal profiles caused by Trojan activation. Simulation results using state-of-the-art tools on publicly available Trojan benchmarks verify that our approaches can detect active Trojans quickly and with few false positives.

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Section: B Relationship Between Power and Temperaturementioning

confidence: 99%

Section: B Test Phasementioning

confidence: 99%

See 1 more Smart Citation

Temperature tracking: An innovative run-time approach for hardware Trojan detection

Forte

Bao

Srivastava

2013

2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

106

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“…Among them, side-channel based HT detection based on power and delay monitoring has become the most focused area [2,3,10,11,12,21]. However, until now, there are no standard and publicly accepted test benchmarks for evaluating the various side-channel-based HT detection solutions, making it difficult for IC design companies or researchers to select the most effective HT detection solutions or to compare them.…”

Section: Motivationmentioning

confidence: 99%

Hardware Trojan horse benchmark via optimal creation and placement of malicious circuitry

Wei

Koushanfar

et al. 2012

Proceedings of the 49th Annual Design Automation Conference

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This paper proposes Hardware Trojan (HT) placement techniques that yield challenging HT detection benchmarks. We develop three types of one-gate HT benchmarks based on switching power, leakage power, and delay measurements that are commonly used in HT detection. In particular, we employ an iterative searching algorithm to find rarely switching locations, an aging-based approach to create ultralow power HT, and a backtracking-based reconvergence identification method to determine the non-observable delay paths. The simulation results indicate that our HT attack benchmarks provide the most challenging representative test cases for the evaluation of side-channel based HT detection techniques.

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“…First, functional test-based HT detection simulates a set of test input vectors and verifies the correctness of the outputs. Researchers have proposed a variety of methods to generate the test input vectors with a goal of maximizing the probability of detection [8] [23].…”

Section: Hardware Trojan Detectionmentioning

confidence: 99%

Wireless security techniques for coordinated manufacturing and on-line hardware trojan detection

Wei

Potkonjak

2012

Proceedings of the Fifth ACM Conference on Security and Privacy in Wireless and Mobile Networks

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This paper addresses the hardware Trojan (HT) attacks that impose severe threats to the security and integrity of wireless networks and systems. We first develop HT attack models by embedding a single HT gate in the target design that triggers advanced malicious attacks. We place the one-gate HT trigger in such a way that it exhibits rare switching activities, consumes ultra-low leakage power, and hides from delay characterizations. Therefore, the HT attack models are capable of bypassing the widely used side channel-based HT detection schemes. Furthermore, based on the HT attack models, we investigate the potential on-line threat models during the system operation and develop an in-field trusted HT detection approach using physical unclonable functions (PUFs). We evaluate the effectiveness of the HT attack and defense models on a set of ISCAS'85, ISCAS'89, and ITC'99 benchmarks.

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A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection

Cited by 100 publications

References 35 publications

Temperature tracking: An innovative run-time approach for hardware Trojan detection

Temperature tracking: An innovative run-time approach for hardware Trojan detection

Hardware Trojan horse benchmark via optimal creation and placement of malicious circuitry

Wireless security techniques for coordinated manufacturing and on-line hardware trojan detection

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