Modeling and Analysis of Thermal Covert Channel Attacks in Many-core Systems
文献类型：期刊论文
| 作者 | Wang, Shengjie6; Wang, Xiaohang4,5; Jiang, Yingtao3; Singh, Amit Kumar2; Yang, Mei3; Huang, Letian1 |
| 刊名 | IEEE TRANSACTIONS ON COMPUTERS
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 72期号:2页码:494-500 |
| ISSN号 | 0018-9340 |
| 关键词 | Computational modeling Receivers Transmitters Encoding Bit error rate Signal to noise ratio Thermal conductivity Many-core systems thermal covert channel analytical model |
| DOI | 10.1109/TC.2022.3160356 |
| 英文摘要 | In a many-core chip, thermal flux and thermal correlation among the cores can be explored to create a thermal covert channel (TCC). In this paper, we provide an analytical model to quickly determine the key TCC performance metrics, in terms of bit error rate (BER), signal to noise ratio (SNR), and channel capacity, without going through lengthy computer simulation and/or physical experiments that are normally needed in current TCC performance studies. According to our model, the TCC's BER is proportional to the square root of the transmission frequency, which can be explored quantitatively to boost the TCC's transmission efficiency by letting the TCC's thermal signal be transmitted at a higher frequency. In addition, our proposed model also links the jamming noise and application of Dynamic Voltage Frequency Scaling (DVFS) to TCC's BER performance, a feature that can be explored to design/optimize the countermeasures against the TCC attacks. The TCC performance predicted by the proposed theoretical model is found in a good agreement with that obtained from computer simulations, with an average error lower than 7%. |
| 资助项目 | National Natural Science Foundation of China[61971200] ; Zhejiang Lab[2021LE0AB01] ; Zhejiang Lab[2021PC0AC01] ; Open Research Grant of State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences[CARCH201916] ; Key Technologies R&D Program of Jiangsu(Prospective and Key Technologies for Industry)[BE2021003] ; Key Laboratory of Big Data and Intelligent Robot (South China University of Technology) ; Ministry of Education ; National Key Research and Development Program of China u[2019QY0705] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| 出版者 | IEEE COMPUTER SOC |
| WOS记录号 | WOS:000917782600015 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19945]  |
| 专题 | 中国科学院计算技术研究所期刊论文 |
| 通讯作者 | Wang, Xiaohang |
| 作者单位 | 1.Univ Elect Sci & Technol China, Dept Microelect & Solid State Elect, Chenggdu 610054, Sichuan, Peoples R China 2.Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, England 3.Univ Nevada, Dept Elect & Comp Engn, Las Vegas, NV 89154 USA 4.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100045, Peoples R China 5.Zhejiang Lab, Hangzhou 311121, Zhejiang, Peoples R China 6.South China Univ Technol, Sch Software Engn, Guangzhou 510006, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shengjie,Wang, Xiaohang,Jiang, Yingtao,et al. Modeling and Analysis of Thermal Covert Channel Attacks in Many-core Systems[J]. IEEE TRANSACTIONS ON COMPUTERS,2023,72(2):494-500. |
| APA | Wang, Shengjie,Wang, Xiaohang,Jiang, Yingtao,Singh, Amit Kumar,Yang, Mei,&Huang, Letian.(2023).Modeling and Analysis of Thermal Covert Channel Attacks in Many-core Systems.IEEE TRANSACTIONS ON COMPUTERS,72(2),494-500. |
| MLA | Wang, Shengjie,et al."Modeling and Analysis of Thermal Covert Channel Attacks in Many-core Systems".IEEE TRANSACTIONS ON COMPUTERS 72.2(2023):494-500. |
入库方式： OAI收割
来源：计算技术研究所
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