Passive Operating System Fingerprinting Based On Multi-Layered Sub-Signature Matching Scheme (Mlsms)

dc.contributor.author	Rashid Aljammal, Ashraf Hamdan
dc.date.accessioned	2019-10-03T06:44:07Z
dc.date.available	2019-10-03T06:44:07Z
dc.date.issued	2011-08
dc.description.abstract	Computer networks become an important dimension of the modern organizations. Thus, keeping the computer networks running at the peak performance is considered as a crucial part for these organizations. To achieve this goal, networks must be secure since it is considered as the key issue to reach a good performance level. However, this task is next to impossible especially when there are many competing issues that need to be considered. This thesis is focusing on Operating system (OS), which is one of the crucial information for network security and management as well. Therefore, complete and accurate information about the OS running on the machines connected to particular network is of utmost importance. Existing OS fingerprinting techniques and algorithms, particularly passive-based do not provide details of the OS such as patch level with certainty and good accuracy.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/8921
dc.language.iso	en	en_US
dc.publisher	Universiti Sains Malaysia	en_US
dc.subject	System Fingerprinting	en_US
dc.subject	Multi-Layered Sub-Signature Matching Scheme (Mlsms)	en_US
dc.title	Passive Operating System Fingerprinting Based On Multi-Layered Sub-Signature Matching Scheme (Mlsms)	en_US
dc.type	Thesis	en_US

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