Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/59021
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Type: Conference paper
Title: A brief comparative study on analytical models of computer system dependability and security
Author: Zhang, Z.
Shen, H.
Defago, X.
Sang, Y.
Citation: Proceedings: 6th International Conference on Parallel and Distributed Computing, Applications and Technologies PDCAT 2005, Dalian, China, 5-8 December 2005 / Hong Shen and Koji Nakano (eds.): pp.493-497
Publisher: IEEE Computer Society
Publisher Place: Washington DC
Issue Date: 2005
ISBN: 0769524052
9780769524054
Conference Name: International Conference on Parallel and Distributed Computing, Applications and Technologies (6th : 2005 : Dalian, China)
Statement of
Responsibility: 
Zonghua Zhang, Hong Shen, Xavier Defago and Yingpeng Sang
Abstract: As two different research topics with much overlap, dependability and security of computer/communication systems have respective long and rich history. The development of the techniques for their modeling and analysis thus have followed distinct but convergent paths. In essence, diverse attributes and the fundamental difference between the nature of the failures bring in different concerns for dependability and security analysis during their modeling process. Taking the understanding of the basic concepts/attributes as a point of departure, this paper intend to carry out a comparative study on the analytical models of computer system dependability and security. Also, by examining the state-of-the-art quantitative techniques and sound modeling methodologies for dependability evaluation, e.g., combinatorial and stochastic methods, we attempt to explore why and how those methods can be extended to evaluate computer system security. Furthermore, we take our developed autonomic detection coordinator (for intrusion detection) as a case study to conduct the comparative analysis.
Rights: Copyright © 2005 by The Institute of Electrical and Electronics Engineers
RMID: 0020095938
DOI: 10.1109/PDCAT.2005.1
Appears in Collections:Computer Science publications

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