Device aging-based physically unclonable functions

Meguerdichian, Saro; Potkonjak, Miodrag

doi:10.1145/2024724.2024793

Cited by 37 publications

(26 citation statements)

References 10 publications

(10 reference statements)

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“…To satisfy those two criterions, [8] proposed a malware detection system of AV software by matching automatically generated behaviour's models against the runtime behaviour of unknown programs. Also, Rahmatian et al [12] used a CFG to detect intrusion for secured embedded system by detecting behavioural differences between the target system and malware. In their system, each executing process is associated with a finite state machine (FSM) that recognizes the sequences of system calls generated by the correct program.…”

Section: Related Workmentioning

confidence: 99%

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Multi-dimensional key generation of ICMetrics for cloud computing

et al. 2015

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Despite the rapid expansion and uptake of cloud based services, lack of trust in the provenance of such services represents a significant inhibiting factor in the further expansion of such service. This paper explores an approach to assure trust and provenance in cloud based services via the generation of digital signatures using properties or features derived from their own construction and software behaviour. The resulting system removes the need for a server to store a private key in a typical Public/Private-Key Infrastructure for data sources. Rather, keys are generated at run-time by features obtained as service execution proceeds. In this paper we investigate several potential software features for suitability during the employment of a cloud service identification system. The generation of stable and unique digital identity from features in Cloud computing is challenging because of the unstable operation environments that implies the features employed are likely to vary under normal operating conditions. To address this, we introduce a multi-dimensional key generation technology which maps from multi-dimensional feature space directly to a key space. Subsequently, a smooth entropy algorithm is developed to evaluate the entropy of key space.

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Section: Related Workmentioning

confidence: 99%

“…So, in the second test, the RS code was set to RS (6,4). After that, we keep increase the message length and code word until they reach RS (12,10). In this experiment, we set k i to 125 for server 1, 2, 3, 4, 5 and 9 but set k i to 220 for server 6, 7 and 8.…”

Section: False Negative Rate Vs Rs Codesmentioning

confidence: 99%

Multi-dimensional key generation of ICMetrics for cloud computing

et al. 2015

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“…A main ramification of NBTI is a significant speed degradation of the pertinent gates ( [1], [6] ). Employment of device aging has been proposed for software metering ( [7]), hardware-based cryptography ( [8]), and prevention of reverse engineering ( [2]). …”

Section: Related Workmentioning

confidence: 99%

A Benign Hardware Trojan on FPGA-based embedded systems

Zheng

Chen

Potkonjak

2012

22nd International Conference on Field Programmable Logic and Applications (FPL)

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In this paper we present the use of Benign Hardware Trojans (BHT) as a security measure for an embedded system with a software component and a hardware execution environment. Based on delay logic, process variation, and selective transistor aging, the BHT can be incorporated into an embedded system for the software and the hardware components to authenticate each other before functional execution. We will demonstrate an implementation of such a BHT within an embedded system on a Xilinx Spartan-6 FPGA platform. Using the same platform we will also show that the BHT security measurement has a low to modest amount of performance overhead basing on the test results from a variety of synthetic and real world benchmarks.

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“…Considering the possible on-line replay attack, we develop a trusted HT detection approach based on the use of physically unclonable functions (PUFs) [17] [30] . A PUF is a specially designed circuitry in which the prediction of output signals from known inputs is computationally infeasible, unless one has access to the netlist of the circuitry and conduct simulations.…”

Section: Trusted Ht Detection Using Physical Unclonable Functionsmentioning

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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Device aging-based physically unclonable functions

Cited by 37 publications

References 10 publications

Multi-dimensional key generation of ICMetrics for cloud computing

Multi-dimensional key generation of ICMetrics for cloud computing

A Benign Hardware Trojan on FPGA-based embedded systems

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

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