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With the support of the granular computing methodology and agent technologies, a cooperative intrusion detection model is proposed. Furthermore, the construction for an intrusion detection agent is presented. Finally, experiments are conducted. Results indicate that the proposed method can detect slow scanning attacks which cannot be detected by a traditional scanning detector.<\/p>","DOI":"10.4018\/ijats.2013070104","type":"journal-article","created":{"date-parts":[[2013,12,30]],"date-time":"2013-12-30T11:03:12Z","timestamp":1388401392000},"page":"54-74","source":"Crossref","is-referenced-by-count":6,"title":["A Cooperative Intrusion Detection Model Based on Granular Computing and Agent Technologies"],"prefix":"10.4018","volume":"5","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computers, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaohua","family":"Teng","sequence":"additional","affiliation":[{"name":"School of Computers, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Collaborative Systems Laboratory, Nipissing University, North Bay, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongning","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computers, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijats.2013070104-0","author":"Anonymous","year":"2003","journal-title":"Maximum security"},{"key":"ijats.2013070104-1","doi-asserted-by":"crossref","unstructured":"Balasubramaniyan, J. 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