Hotspot monitoring and Temperature Estimation with miniature on-chip temperature sensors

Chundi, Pavan Kumar; Zhou, Yini; Kim, Martha; Kursun, Eren; Seok, Mingoo

doi:10.1109/islped.2017.8009191

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…For dynamic thermal management, temperature sensors are essential and are deployed in chips in a wide range [40]. The accuracy and number of temperature sensors can be ever improved in the future [41]. The attackers (being the TCC transceiver) are able to read or reach the local thermal sensor data by calling the software interfaces such as MSR or Intel's processor Model Specific Register, with a normal resolution of 1 • C [42].…”

Section: Threat Modelmentioning

confidence: 99%

Selective Noise Based Power-Efficient and Effective Countermeasure against Thermal Covert Channel Attacks in Multi-Core Systems

Rahimi

Singh

Wang

2022

JLPEA

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With increasing interest in multi-core systems, such as any communication systems, infra-structures can become targets for information leakages via covert channel communication. Covert channel attacks lead to leaking secret information and data. To design countermeasures against these threats, we need to have good knowledge about classes of covert channel attacks along with their properties. Temperature–based covert communication channel, known as Thermal Covert Channel (TCC), can pose a threat to the security of critical information and data. In this paper, we present a novel scheme against such TCC attacks. The scheme adds selective noise to the thermal signal so that any possible TCC attack can be wiped out. The noise addition only happens at instances when there are chances of correct information exchange to increase the bit error rate (BER) and keep the power consumption low. Our experiments have illustrated that the BER of a TCC attack can increase to 94% while having similar power consumption as that of state-of-the-art

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Section: Threat Modelmentioning

confidence: 99%

Selective Noise Based Power-Efficient and Effective Countermeasure against Thermal Covert Channel Attacks in Multi-Core Systems

Rahimi

Singh

Wang

2022

JLPEA

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“…If X is obtained from (4), thermal fields F can be reconstructed using (2). If S ≥ K and rank (D S ) = K, X has a unique solution, denoted as X , substituting X into (2) provides the reconstruction of F, denoted as F . That is, the thermal fields F can be reconstructed from a limited number of temperature sensors.…”

Section: Principlementioning

confidence: 99%

“…Accordingly, acute thermal problems need to be seriously considered because there are increasingly more devices integrated within the limited areas of very-large-scale integrated chips, such as multicore processors, which lead to a large increase in chip power density and an obvious rise in operating temperature. The overheating of the chip reduces the integrated circuit performance, shortens the lifetime of the chip, and even leads to chip failure [1,2]. To solve the thermal problem, the dynamic thermal management (DTM) technique has been proposed [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Thermal field reconstruction based on weighted dictionary learning

Zhang

Xiao³

et al. 2021

IET Circuits, Devices & Syst

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Dynamic thermal management (DTM) is applied to address the thermal problem of high performance very-large-scale integrated chips. The false alarm rate (FAR) can be used to evaluate the impact of full-chip thermal field reconstruction accuracy on DTM. A low FAR relies on the accurate reconstruction of the full thermal field, especially near the temperature triggering threshold of DTM. However, little attention is currently being paid to such temperature ranges. To reduce FAR, a new full-chip thermal field reconstruction strategy is proposed. A low-dimensional linear model is used to accurately represent the thermal fields. The dictionary learning technology is exploited to train the model and the minimum weighted mean square error evaluation method is incorporated to improve the reconstruction accuracy near the temperature triggering threshold. A temperature sensor placement algorithm using the heuristic algorithm to solve the NPhard problem is also proposed. The experimental results show that the proposed strategy can reconstruct the full thermal field with a more precise accuracy near the triggering threshold and achieve the lowest FAR compared to the state of the art.

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Effect of Hardware Trojan Attacks on the Performance of On-Chip Multicast Routing Algorithms

Tiwari

Yang

Jiang

et al. 2019

2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)

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Hotspot monitoring and Temperature Estimation with miniature on-chip temperature sensors

Cited by 8 publications

References 20 publications

Selective Noise Based Power-Efficient and Effective Countermeasure against Thermal Covert Channel Attacks in Multi-Core Systems

Selective Noise Based Power-Efficient and Effective Countermeasure against Thermal Covert Channel Attacks in Multi-Core Systems

Thermal field reconstruction based on weighted dictionary learning

Effect of Hardware Trojan Attacks on the Performance of On-Chip Multicast Routing Algorithms

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