Alert Confidence Fusion in Intrusion Detection Systems with Extended Dempster- Shafer Theory
Abstract
Extend Dempster-Shafer Theory of Evidence to include differential weightings of alerts drawn from multiple sources. The intent is to support automated (and manual) response to threat by producing more realistic confidence ratings for IDS alerts than is currently available.
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 985088
- Report Number(s):
- PNNL-SA-43869
TRN: US201016%%1772
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proceedings of the 43rd Annual Association for Computing Machinery Southeast Regional Conference (ASM-SE '05), 2:142-147
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ACCURACY; ALGORITHMS; DETECTION; EVALUATION; INTRUSION DETECTION SYSTEMS; MACHINERY; cybersecurity
Citation Formats
Yu, Dong, and Frincke, Deborah A. Alert Confidence Fusion in Intrusion Detection Systems with Extended Dempster- Shafer Theory. United States: N. p., 2005.
Web.
Yu, Dong, & Frincke, Deborah A. Alert Confidence Fusion in Intrusion Detection Systems with Extended Dempster- Shafer Theory. United States.
Yu, Dong, and Frincke, Deborah A. 2005.
"Alert Confidence Fusion in Intrusion Detection Systems with Extended Dempster- Shafer Theory". United States.
@article{osti_985088,
title = {Alert Confidence Fusion in Intrusion Detection Systems with Extended Dempster- Shafer Theory},
author = {Yu, Dong and Frincke, Deborah A},
abstractNote = {Extend Dempster-Shafer Theory of Evidence to include differential weightings of alerts drawn from multiple sources. The intent is to support automated (and manual) response to threat by producing more realistic confidence ratings for IDS alerts than is currently available.},
doi = {},
url = {https://www.osti.gov/biblio/985088},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 01 00:00:00 EST 2005},
month = {Tue Mar 01 00:00:00 EST 2005}
}
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