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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/5277
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dc.contributor.authorWong, Chi Kwan Witzen_US
dc.date.accessioned2008-12-10T01:23:42Z
dc.date.accessioned2017-09-19T09:10:55Z
dc.date.accessioned2019-02-12T07:28:01Z-
dc.date.available2008-12-10T01:23:42Z
dc.date.available2017-09-19T09:10:55Z
dc.date.available2019-02-12T07:28:01Z-
dc.date.issued2008en_US
dc.identifier.other2008eewck489en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/5277-
dc.description.abstractIn the new generation of the Network Intrusion Detection system (NIDS), due to the increase packet data that need to be inspected simultaneously, this creates the need of an advanced pattern-matching engine. In this project, in order to shorten the inspection time and reduce the workload for the inspecting system hardware, we investigated an efficient algorithm for multi-string matching, which is called the AC algorithm. It supports high data rate, dynamic update and it is one of the most storage-efficient schemes currently exists. This project will also include the simulation with 4300 patterns extracted from Snort, a worldwide NIDS, and the comparison with Jan van Lunteren’s new scheme for pattern-matching which is called the BFSM-based pattern-matching (BFPM) scheme. This may be the best pattern-matching algorithm nowadays.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleMulti-string matching for network intrusion detectionen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorSupervisor: Dr. Pao, Derek C W.; Assessor: Dr. Po, L Men_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

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