TY - GEN
T1 - An optimized approach to protect virtual machine image integrity in cloud computing
AU - Yue, Xichun
AU - Xiao, Limin
AU - Zhan, Weidian
AU - Xu, Zhigang
AU - Ruan, Li
AU - Liu, Rui
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/7/13
Y1 - 2017/7/13
N2 - The development of cloud computing is surely unprecedented in IT industry with many companies adapting to this new technology. The related companies undoubtedly benefit a lot from cloud computing. Meanwhile, the security of cloud platforms becomes one of the concerns for companies. As an important underlying component, the virtual machine image is also in need of especial protection. In this paper, we propose an optimized approach to protect the virtual machine image integrity. In the approach, we propose an architecture of integrity protection, optimize a hardware environment as the fundamental deployment environment, design a measurement module to measure and verify images, and design a strategy module to handle the results. Finally, we integrate it with OpenStack and evaluate its security and performance. The experiments demonstrate that our approach can protect the image integrity well and the measurement speed is increased three times faster than the ordinary approach with a little more resource consumption.
AB - The development of cloud computing is surely unprecedented in IT industry with many companies adapting to this new technology. The related companies undoubtedly benefit a lot from cloud computing. Meanwhile, the security of cloud platforms becomes one of the concerns for companies. As an important underlying component, the virtual machine image is also in need of especial protection. In this paper, we propose an optimized approach to protect the virtual machine image integrity. In the approach, we propose an architecture of integrity protection, optimize a hardware environment as the fundamental deployment environment, design a measurement module to measure and verify images, and design a strategy module to handle the results. Finally, we integrate it with OpenStack and evaluate its security and performance. The experiments demonstrate that our approach can protect the image integrity well and the measurement speed is increased three times faster than the ordinary approach with a little more resource consumption.
KW - Cloud Computing Security
KW - Image Integrity
KW - Image Protection
KW - OpenStack
UR - https://www.scopus.com/pages/publications/85027435389
U2 - 10.1109/CCBD.2016.025
DO - 10.1109/CCBD.2016.025
M3 - 会议稿件
AN - SCOPUS:85027435389
T3 - Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
SP - 75
EP - 80
BT - Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Y2 - 16 November 2016 through 18 November 2016
ER -