NDLI: The design and implementation of an intrusion tolerant system

Content Provider	IEEE Xplore Digital Library
Author	Reynolds, J. Just, J. Lawson, E. Clough, L. Maglich, R. Levitt, K.
Copyright Year	2002
Abstract	We describe the implementation of an intrusion tolerant system for providing Internet services to known users through secure connections. Network attacks are treated as maliciously devised conditions to exploit design, implementation, or configuration faults, intrusions (successful attacks) are treated as failures, and their effects are mitigated by using the three pillars of fault tolerance: detection, isolation, and recovery. Fundamental to our approach is the use of diverse process pairs, which provides partial solutions to detection and isolation problems. The architecture uses the comparison of outputs from diverse applications to provide a significant and novel intrusion detection capability. The diverse applications also strengthen isolation by forcing attacks to exploit independent vulnerabilities. The isolation of intrusions is mainly achieved with an out-of-band control system. The control system not only provides separation between the primary and backup system, it also initiates attack diagnosis, attack blocking, and recovery, which is accelerated by on-line repair.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Fault-Tolerant Comput. (TCFTC) IFIP Working Group 10.4 on Dependable Comput. & Fault Tolerence DARPA LAAS-CNRS Univ. Michigan
Starting Page	285
Ending Page	290
File Size	284236
Page Count	6
File Format	PDF
ISBN	0769511015
DOI	10.1109/DSN.2002.1028912
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault tolerance Intrusion detection Control systems Computer networks Hardware Fault tolerant systems Virtual private networks Local area networks Web and internet services Fault detection
Content Type	Text
Resource Type	Article

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