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The research on consistency of space/time of IDS

Published: 01 July 2005 Publication History

Abstract

A method of Intrude Detection based on Data Fusion is introduced and a new mechanism -- DFIDM has been presented in the paper. We focus in consistency of Space/Time during data collecting and object collecting. Multisensor will collect data such as log file, information of Network Traffics and data packets of network based on this mechanism. First, these data will be sent to local decision-maker to be judged, and then calibrated after Data collecting and object collecting period. At last, it will be transferred to the fusion center for decision-making. As result of the experiment shown in the paper, the mechanism can improve the performance of IDS.

References

[1]
Bass, T., Multisensor Data Fusion for Next Generation Distributed Intrusion Detection Systems, 1999 IRIS National Symposium on Sensor and Data Fusion, May 1999.
[2]
Bass, T., Cyberspace Situational Awareness Demands Mimic Traditional Command Requirements, Signal Magazine, AFCEA, February 2000.
[3]
Guangchun Luo, Xianling Lu, Zhang Jun, Jiong Li, A Novel IDS Mechanism Based by Data Fusion with Multiple Sensors, Journal of University of Electronic Science and Technology of China2004, No.1 (in Chinese).
[4]
Bass, T., Intrusion Detection Systems & Multisensor Data Fusion, Communications of the ACM, Vol. 43, No. 4, April 2000
[5]
Bass, T., Intrusion Detection Systems and Multisensor Data Fusion: Creating Cyberspace Situational Awareness, Communications of the ACM, 1999.

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Published In

cover image ACM SIGOPS Operating Systems Review
ACM SIGOPS Operating Systems Review  Volume 39, Issue 3
July 2005
93 pages
ISSN:0163-5980
DOI:10.1145/1075395
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2005
Published in SIGOPS Volume 39, Issue 3

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Author Tags

  1. consistency of space
  2. consistency of time
  3. intrude detection
  4. performance

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