BIC: Blind Identification Countermeasure for Malicious Thermal Sensor Attacks in Mobile SoCs
被引:0
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作者:
Abdelrehim, Mostafa
论文数: 0引用数: 0
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机构:
Calif State Univ, Bakersfield, CA 93309 USACalif State Univ, Bakersfield, CA 93309 USA
Abdelrehim, Mostafa
[1
]
Patooghy, Ahmad
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机构:
North Carolina AT State Univ, Greensboro, NC 27411 USACalif State Univ, Bakersfield, CA 93309 USA
Patooghy, Ahmad
[2
]
Malekmohammadi, Amin
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机构:
Calif State Univ, Bakersfield, CA 93309 USACalif State Univ, Bakersfield, CA 93309 USA
Malekmohammadi, Amin
[1
]
Badawy, Abdel-Hameed A.
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机构:
New Mexico State Univ, Las Cruces, NM 88003 USACalif State Univ, Bakersfield, CA 93309 USA
Badawy, Abdel-Hameed A.
[3
]
机构:
[1] Calif State Univ, Bakersfield, CA 93309 USA
[2] North Carolina AT State Univ, Greensboro, NC 27411 USA
[3] New Mexico State Univ, Las Cruces, NM 88003 USA
来源:
PROCEEDINGS OF THE TWENTY THIRD INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2022)
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2022年
关键词:
MANAGEMENT;
D O I:
10.1109/ISQED54688.2022.9806243
中图分类号:
R318 [生物医学工程];
学科分类号:
0831 ;
摘要:
Mobile System-on-Chips (SoCs) heavily rely on dynamic thermal management (DTM) methods in order to deal with their thermal and power density issues at runtime. The efficiency of any DTM method is directly related to the temperature data coming from the thermal sensors. For the first time, in this paper, we introduce a serious security attack on thermal sensors that can alter both the performance and reliability of the chip. We propose a Blind Identification Countermeasure (BIC) that successfully defeats the attack by identifying and isolating the infected sensor. In addition, the proposed method can accurately estimate the steady state temperature of the core associated with the isolated thermal sensor so that the DTM can continue its services with no interruption. Based on our wide range of evaluations, BIC can provide an excellent accuracy of 100% in detecting attacking sensors with a maximum temperature estimation error of approximate to 0.18 degrees C. Also, BIC inflects a negligible performance overhead of 0.7% when tested with Geekbench 43.1 benchmark suite.
机构:
College of Information Science and Engineering, Northeastern University, Liaoning, Shenyang,110819, ChinaCollege of Information Science and Engineering, Northeastern University, Liaoning, Shenyang,110819, China
Lv, Yuan-Wei
Yang, Guang-Hong
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机构:
College of Information Science and Engineering, Northeastern University, Liaoning, Shenyang,110819, China
State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Liaoning, Shenyang,110819, ChinaCollege of Information Science and Engineering, Northeastern University, Liaoning, Shenyang,110819, China
Yang, Guang-Hong
Dimirovski, Georgi Marko
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机构:
Doctoral School FEIT, Ss. Cyril and Methodius University at Skopje, Skopje,1000, MacedoniaCollege of Information Science and Engineering, Northeastern University, Liaoning, Shenyang,110819, China