NDLI: A Collaborative Approach for Access Control, Intrusion Detection and Security Testing

Content Provider	IEEE Xplore Digital Library
Author	Blanc, M. Briffaut, J. Clemente, P. El Rab, M.G. Toinard, C.
Copyright Year	2006
Description	Author affiliation: Commissariat a lEnergie Atomique (Blanc, M.)
Abstract	Security Management is becoming a critical aspect for large scale distributed systems. In this paper, we propose a global architecture, based on an original meta-policy approach for access control and intrusion detection, allowing to guarantee global security properties. In contrast with classical meta-policy based systems, by applying verification techniques on the meta-policy, our solution guarantees global security properties while supporting local updates of the security policy. It is thus a powerful solution that provides strong fault tolerance since the control is carried out in a complete decentralized manner. By using a meta-policy, the system can verify the respect of global security properties after meta or local modifications of the policy. Thanks to test components, our system is also able to evaluate and configure in real-time each of its functionalities while tracking self corruption by malicious hackers. Our architecture is a cooperative multi agent-based system, making it possible to activate a functionality independently from some others. It is divided into several levels, each one contributing to the automation of the security management.
Starting Page	270
Ending Page	277
File Size	564436
Page Count	8
File Format	PDF
ISBN	0978569903
DOI	10.1109/CTS.2006.1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Access control Real time systems Intrusion Detection System testing Verification. Access Power system security Security Fault tolerance Control Computer hacking Automatic testing Multi-Agent System Test Collaboration Intrusion detection Large-scale systems
Content Type	Text
Resource Type	Article

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