Trojan Detection using IC Fingerprinting

Agrawal, Dakshi; Baktır, Selçuk; Karakoyunlu, Deniz; Rohatgi, Pankaj; Sunar, Berk

doi:10.1109/sp.2007.36

Cited by 647 publications

(386 citation statements)

References 12 publications

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“…Agrawal et al [2] introduced the hardware Trojan problem and proposed the first HT detection approach using fingerprints generated from IC side channels. Thereafter, a large number of HT detection methods have been proposed, which can be classified into two categories.…”

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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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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“…Agrawal et al [1] use destructive tests to extract a fingerprint for a group of unaltered chips based on the global transient power signal characteristics. The other chips would be noninvasively tested against the extracted fingerprints by statistical Hypothesis testing.…”

Section: Related Workmentioning

confidence: 99%

A Unified Submodular Framework for Multimodal IC Trojan Detection

2010

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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.

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“…Side Channel Analysis (SCA) is an important detection method to address this problem [1,2,3,4]. SCA, borrowed from cryptographic analysis, was proposed by IBM in [2].…”

mentioning

confidence: 99%

“…Side Channel Analysis (SCA) is an important detection method to address this problem [1,2,3,4]. SCA, borrowed from cryptographic analysis, was proposed by IBM in [2]. In [2], the authors modeled the IC process noise and presented the basic theoretical framework of side-channel analysis as a HT detection method.…”

mentioning

confidence: 99%

An intelligent classification method for Trojan detection based on side-channel analysis

Wang

et al. 2013

IEICE Electron. Express

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Abstract:Side-channel analysis is an important strategy for Hardware Trojan (HT) detection. Karhunen-Love (K-L) expansion can be used to improve side-channel signals analysis quality, As an auxiliary post-processing method of K-L expansion, One Class Support Vector Machine (OCSVM) is introduced to achieve ICs intelligent classification. With the OCSVM and the power traces of Genuine ICs (Genuines), a hyper sphere can be built to distinguish the Trojan ICs (Trojans) from Genuines. The effectiveness of the proposed approach is experimentally demonstrated using power simulations performed on a representative circuit with several different Trojan circuits.

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Trojan Detection using IC Fingerprinting

Cited by 647 publications

References 12 publications

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

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

A Unified Submodular Framework for Multimodal IC Trojan Detection

An intelligent classification method for Trojan detection based on side-channel analysis

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