A Coprocessor-based Introspection Framework via Intel Management Engine-Reference-Cited by-同舟云学术

A Coprocessor-based Introspection Framework via Intel Management Engine

Published:2021 Issue: Volume: Page:1-1
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Zhou Lei¹,Zhang Fengwei²,Xiao Jidong³,Leach Kevin⁴,Weimer Westley⁵,Ding Xuhua⁶,Wang Guojun⁷

Affiliation:

1. Computer Science and Engineering, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, (e-mail: zhoul6@sustech.edu.cn)

2. Computer Science and Engineering, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, 518055 (e-mail: zhangfw@sustech.edu.cn)

3. Computer Science, Boise State University, 1791 Boise, Idaho, United States, 83702 (e-mail: jidongxiao@boisestate.edu)

4. Computer Science and Engineering, University of Michigan, 1259 Ann Arbor, Michigan, United States, (e-mail: kjleach@umich.edu)

5. Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States, (e-mail: weimerw@umich.edu)

6. School of Information Systems, Singapore Management University, Singapore, Singapore, Singapore, 178902 (e-mail: xhding@smu.edu.sg)

7. School of Computer Science and Educational Software, Guangzhou University, 47875 Guangzhou, Guangdong, China, (e-mail: csgjwang@gzhu.edu.cn)

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/09397383.pdf?arnumber=9397383

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flash controller-based secure execution environment for protecting code confidentiality;Journal of Systems Architecture;2024-07

2. FMC-CEE: A Collaborative Execution Environment with Flash Memory Controllers in IoT;2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2024-03-11

3. Research on Dynamic Detection of Vulnerabilities in Smart Contracts Based on Machine Learning;2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2024-02-27

4. Detecting unknown vulnerabilities in smart contracts using opcode sequences;Connection Science;2024-02-14

5. Towards isolated execution at the machine level;Proceedings of the 13th ACM SIGOPS Asia-Pacific Workshop on Systems;2022-08-23