Rule-based Detection
Rule-Based Detection is an intrusion detection method that identifies malicious activities by matching observed system or network behaviors against a set of predefined rules encoding known attack patterns.
413
Publications
21.1K
Citations
1.3K
Authors
520
Institutions
Publications per year
2017–2026
147
413
Credit card fraud detection with a neural-network
A rule-based fault detection method for air handling units
Jeffrey Schein, Steven T. Bushby, Natascha S Castro et al. · Energy and Buildings · 2006 · 315 citations
Engineering, Industrial Engineering, Systems Engineering +12
1–5 of 413
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520

Anna University, Chennai
Chennai, India
8 h-index
23 publications
1.7K citations

University of Waterloo
Waterloo, Canada
6 h-index
10 publications
467 citations
Queen's University Belfast
Belfast, United Kingdom
5 h-index
16 publications
1K citations
Iowa State University
Ames, United States
5 h-index
20 publications
1.9K citations

Aberystwyth University
Aberystwyth, United Kingdom
5 h-index
10 publications
278 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
184 citations

Northeastern University
Shenyang, China
4 h-index
5 publications
88 citations
Northumbria University
Newcastle upon Tyne, United Kingdom
4 h-index
8 publications
248 citations
1–8 of 520
6 publications · 231 citations
6
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5 publications · 238 citations
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5 publications · 362 citations
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4 publications · 136 citations
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4 publications · 100 citations
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