Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
The Vision of Autonomic Computing
Computer
Modeling and Quantification of Security Attributes of Software Systems
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
A method for modeling and quantifying the security attributes of intrusion tolerant systems
Performance Evaluation - Dependable systems and networks-performance and dependability symposium (DSN-PDS) 2002: Selected papers
Security in an autonomic computing environment
IBM Systems Journal
Security analysis of SITAR intrusion tolerance system
Proceedings of the 2003 ACM workshop on Survivable and self-regenerative systems: in association with 10th ACM Conference on Computer and Communications Security
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Analysis of techniques for building intrusion tolerant server systems
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Towards autonomic mode control of a scalable intrusion tolerant architecture
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
An adaptive mode control algorithm of a scalable intrusion tolerant architecture
Journal of Computer and System Sciences
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The dependability analysis of an ITS (Intrusion Tolerance System – a system that performs continuously minimal essential services even when the computer system is partially compromised because of intrusions) is essential for the design of the ITS. In this paper, we applied self-healing mechanism, the core technology of autonomic computing to analyze the dependability of the ITS. In other words, we described the state transition of the ITS composed of a primary server and a backup server utilizing two factors of self-healing mechanism (fault model and system response) and analyzed it using M/G/1 queuing technique. We also evaluated the availability of the ITS through simulation experiments.