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The system is based on the use of different neural projection and unsupervised methods for the visual inspection of honeypot data, and may be seen as a complementary network security tool that sheds light on internal data structures through visual inspection of the traffic itself. Furthermore, it is intended to facilitate verification and assessment of Snort performance (a well-known and widely-used misuse-based IDS), through the visualization of attack patterns. Empirical verification and comparison of the proposed projection methods are performed in a real domain, where two different case studies are defined and analyzed. <\/jats:p>","DOI":"10.1142\/s0129065712500050","type":"journal-article","created":{"date-parts":[[2012,3,29]],"date-time":"2012-03-29T06:18:35Z","timestamp":1333001915000},"page":"1250005","source":"Crossref","is-referenced-by-count":30,"title":["A NEURAL-VISUALIZATION IDS FOR HONEYNET DATA"],"prefix":"10.1142","volume":"22","author":[{"given":"\u00c1LVARO","family":"HERRERO","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, University of Burgos, Burgos, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"URKO","family":"ZURUTUZA","sequence":"additional","affiliation":[{"name":"Electronics and Computing Department, Mondragon University, Arrasate-Mondragon, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"EMILIO","family":"CORCHADO","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica y Autom\u00e1tica, Universidad de Salamanca, Salamanca, Spain"},{"name":"Department of Computer Science, V\u0160B-Technical University of Ostrava, Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,4,7]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1002\/nem.433"},{"key":"rf3","first-page":"222","volume":"13","author":"Denning D. 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