dc.contributor.author | Susid, Daniel | swe |
dc.date.accessioned | 2004-06-10 | swe |
dc.date.accessioned | 2007-01-16T16:51:15Z | |
dc.date.available | 2007-01-16T16:51:15Z | |
dc.date.issued | 2004 | swe |
dc.identifier.uri | http://hdl.handle.net/2077/1159 | |
dc.description.abstract | Today, tools for sniffer detection have become a standard part of the security toolkit, used to protect computing assets from hostile attacks. The Open Source Network-based sniffer detection tool Sentinel, is commonly found in various security toolkits, and widely used by administrators. Under normal circumstances, Sentinel detects common non-standalone packet sniffers quite reliably. But, its reliability is still questionable. This due to the fact, that since the introduction of Network-based non-standalone sniffer detection, various counter methods have been suggested, to make sniffers impossible to detect. This research effort tries to evaluate the reliability of Network-based sniffer detection, regarding the various counter methods proposed. The research was conducted by standardized experiments conducted with Sentinel, and a survey examination among system administrators. The major findings of this research are that; Network-based sniffer detection, as it is generally conducted today, can not be considered very reliable. Therefore, sniffers should mainly be fought using prevention not detection. | swe |
dc.format.extent | 55 pages | swe |
dc.format.extent | 1259647 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | swe |
dc.subject | Intrusion Detection; Sniffer Detection; Sniffer; Network Security; Counter Detection | swe |
dc.title | An evaluation of network based sniffer detection; Sentinel | swe |
dc.setspec.uppsok | SocialBehaviourLaw | swe |
dc.type.uppsok | D | swe |
dc.contributor.department | Göteborgs universitet/Institutionen för informatik | swe |
dc.contributor.department | Göteborg University/Department of Informatics | eng |
dc.type.degree | Student essay | swe |
dc.gup.origin | Göteborg University. School of Business, Economics and Law | swe |
dc.gup.epcid | 3725 | swe |
dc.subject.svep | Informatics | swe |