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https://hdl.handle.net/10356/136559
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yap, Brian Jay Padilla | en_US |
dc.date.accessioned | 2019-12-30T01:45:16Z | - |
dc.date.available | 2019-12-30T01:45:16Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://hdl.handle.net/10356/136559 | - |
dc.description.abstract | Since 9/11, the society had been working on various means to suppress ill-intentioned individuals from destroying the nation’s physical infrastructures. As technology increasingly leans towards the cyberspace, ill-intentions have moved from the destruction of physical infrastructures to the sabotage of the cyberspace which these infrastructures rely upon. Hence, given the scarcity of resources, it is the upmost priority of professionals to fully maximise the available security assets. In this report, the author details a purposed system (Anōmalos IDS) where a modern artificial intelligence technique is used with Expert System technique for a ruled-based Anomaly detection. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.subject | Engineering::Electrical and electronic engineering | en_US |
dc.title | Investigation on effective solutions against insider attack (Anōmalos IDS) | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Ma Maode | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Electrical and Electronic Engineering) | en_US |
dc.contributor.supervisoremail | EMDMa@ntu.edu.sg | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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(A3312-182) FYP Report.pdf Restricted Access | 5.99 MB | Adobe PDF | View/Open |
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