Detection of Thermal Covert Channel Attacks Based on Classification of Components of the Thermal Signal Features-Reference-Cited by-同舟云学术

Detection of Thermal Covert Channel Attacks Based on Classification of Components of the Thermal Signal Features

Author:

Wang Xiaohang¹^ORCID,Huang Hengli²,Chen Ruolin²^ORCID,Jiang Yingtao³^ORCID,Singh Amit Kumar⁴^ORCID,Yang Mei³^ORCID,Huang Letian⁵^ORCID

Affiliation:

1. School of Cyber Science and Technology, Zhejiang University, Hangzhou, China

2. School of Software Engineering, South China University of Technology, Guangzhou, China

3. Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV, USA

4. School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.

5. University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

Major Scientific Research Project of Zhejiang Lab

Zhejiang Lab

CCF- Phytium Fund

National Key R&D Program of China

Chinese Academy of Sciences

Key Technologies R&D Program of Jiangsu

South China University of Technology

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

Reference25 articles.

4. Coretemp;liberman,2011

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