Distributed Intrusion Detection is an intrusion detection paradigm that employs multiple spatially separated components to monitor, analyze, and correlate network or system activities across dispersed nodes, thereby enhancing scalability, fault tolerance, and detection accuracy in large-scale or heterogeneous environments.
386
Publications
20.2K
Citations
1.1K
Authors
425
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Publications per year
2017–2026
82
Parents
Publications
386
Architecture for an Artificial Immune System
Steven Hofmeyr, Stephanie Forrest · Evolutionary Computation · 2000 · 867 citations
An architecture for intrusion detection using autonomous agents
J.S. Balasubramaniyan, J.O. Garcia-Fernandez, D. Isacoff et al. · 2002 · 471 citations
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Institutions
425
The University of Melbourne
Melbourne, Australia
9 h-index
26 publications
3.7K citations
Iowa State University
Ames, United States
6 h-index
24 publications
1.8K citations
City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
9 publications
365 citations
Intel (United States)
Santa Clara, United States
5 h-index
10 publications
429 citations
University of Pisa
Pisa, Italy
5 h-index
14 publications
554 citations
University of Waterloo
Waterloo, Canada
5 h-index
10 publications
190 citations
University of California, Davis
Davis, United States
5 h-index
21 publications
1.1K citations
Harbin Institute of Technology
Harbin, China
4 h-index
7 publications
571 citations
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- Journal of Network and Computer Applications
JNCA · 6 publications · 481 citations
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- Cluster Computing
5 publications · 223 citations
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- Computers & Security
5 publications · 453 citations
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- IEEE Access
5 publications · 487 citations
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- Computer Networks
4 publications · 266 citations
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