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https://hdl.handle.net/1959.11/8650
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sultan, Zafar | en |
dc.contributor.author | Kwan, Paul | en |
dc.contributor.author | Evered, Mark P | en |
dc.date.accessioned | 2011-10-13T11:09:00Z | - |
dc.date.created | 2011 | en |
dc.date.issued | 2011 | - |
dc.identifier.uri | https://hdl.handle.net/1959.11/8650 | - |
dc.description.abstract | This research examines a simultaneous threats detection system for distributed systems that uses a hybrid identification fusion model. This hybrid model is comprised of mathematical and statistical data fusion engines: Dempster-Shafer, Extended Dempster-Shafer, and Generalised Evidential Processing (GEP). The simultaneous threats detection system produced threat detection rates of 56% using Dempster-Shafer whilst Extended Dempster-Shafer and Generalised Evidential Processing (GEP) achieved 80% and 95% threat detection rate. Thus, the simultaneous threats detection system can improve threat detection rates by 39% (i.e. 95% - 56%) simply by adopting a more effective hybrid fusion model. In terms of efficiency and performance, the comparison of the three inference engines of the simultaneous threats detection system showed that Generalised Evidential Processing is a better data fusion model than Dempster-Shafer or Extended Dempster-Shafer. In addition, the set cover packing technique was used as a middle-tier data fusion tool to determine the reduced size groups of the threat data. Set cover provided significant improvement and reduced the threat population from 2,272 to 295. This helped to minimise the complexity of evidential processing, and therefore reduced the cost and time taken to determine the combined probability mass of the multiple simultaneous threats detection system. This technique is particularly relevant to online and internet-dependent applications, including portals. | en |
dc.language | en | en |
dc.title | Multiple Simultaneous Threats Detection in Distributed Systems | en |
dc.type | Thesis Doctoral | en |
dcterms.accessRights | UNE Green | en |
dc.subject.keywords | Decision Support and Group Support Systems | en |
local.contributor.firstname | Zafar | en |
local.contributor.firstname | Paul | en |
local.contributor.firstname | Mark P | en |
local.subject.for2008 | 080605 Decision Support and Group Support Systems | en |
local.subject.seo2008 | 890202 Application Tools and System Utilities | en |
dcterms.RightsStatement | Copyright 2011 - Zafar Sultan | en |
dc.date.conferred | 2011 | en |
local.thesis.degreelevel | Doctoral | en |
local.thesis.degreename | Doctor of Philosophy | en |
local.contributor.grantor | University of New England | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | zsultan@une.edu.au | en |
local.profile.email | wkwan2@une.edu.au | en |
local.profile.email | mevered@une.edu.au | en |
local.output.category | T2 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une_thesis-20110324-13235 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Sultan | en |
local.contributor.lastname | Kwan | en |
local.contributor.lastname | Evered | en |
dc.identifier.staff | une-id:zsultan | en |
dc.identifier.staff | une-id:wkwan2 | en |
dc.identifier.staff | une-id:mevered | en |
local.profile.role | author | en |
local.profile.role | supervisor | en |
local.profile.role | supervisor | en |
local.identifier.unepublicationid | une:8840 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Multiple Simultaneous Threats Detection in Distributed Systems | en |
local.output.categorydescription | T2 Thesis - Doctorate by Research | en |
local.relation.url | http://paper.ijcsns.org/07_book/200902/20090209.pdf | en |
local.relation.url | http://paper.ijcsns.org/07_book/200912/20091211.pdf | en |
local.thesis.borndigital | yes | en |
local.search.author | Sultan, Zafar | en |
local.search.supervisor | Kwan, Paul | en |
local.search.supervisor | Evered, Mark P | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/95958506-c1f4-4261-8dc5-643549286db9 | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/f9dbe69b-0198-4ac0-b44f-b79d6b3a820c | en |
local.uneassociation | Yes | en |
local.year.conferred | 2011 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/f9dbe69b-0198-4ac0-b44f-b79d6b3a820c | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/95958506-c1f4-4261-8dc5-643549286db9 | en |
Appears in Collections: | Thesis Doctoral |
Files in This Item:
File | Description | Size | Format | |
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open/MARCXML.xml | MARCXML.xml | 3.41 kB | Unknown | View/Open |
open/SOURCE03.pdf | Abstract | 92.68 kB | Adobe PDF Download Adobe | View/Open |
open/SOURCE04.pdf | Thesis | 855.27 kB | Adobe PDF Download Adobe | View/Open |
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