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University of Louisville

1. Madhusoodhanan Sathik, Anju Panicker, 1984-. Parallelizing a network intrusion detection system using a GPU.

Degree: MS, 2012, University of Louisville

As network speeds continue to increase and attacks get increasingly more complicated, there is need to improved detection algorithms and improved performance of Network Intrusion Detection Systems (NIDS). Recently, several attempts have been made to use the underutilized parallel processing capabilities of GPUs, to offload the costly NIDS pattern matching algorithms. This thesis presents an interface for NIDS Snort that allows porting of the pattern-matching algorithm to run on a GPU. The analysis show that this system can achieve up to four times speedup over the existing Snort implementation and that GPUs can be effectively utilized to perform intensive computational processes like pattern matching. Advisors/Committee Members: Ouyang, Ming.

Subjects/Keywords: GPU parallel programming; Parallel NIDS; CUDA; NIDS GPU; Snort GPU; CUDA NIDS GPU

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Madhusoodhanan Sathik, Anju Panicker, 1. (2012). Parallelizing a network intrusion detection system using a GPU. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/879 ; https://ir.library.louisville.edu/etd/879

Chicago Manual of Style (16th Edition):

Madhusoodhanan Sathik, Anju Panicker, 1984-. “Parallelizing a network intrusion detection system using a GPU.” 2012. Masters Thesis, University of Louisville. Accessed October 17, 2019. 10.18297/etd/879 ; https://ir.library.louisville.edu/etd/879.

MLA Handbook (7th Edition):

Madhusoodhanan Sathik, Anju Panicker, 1984-. “Parallelizing a network intrusion detection system using a GPU.” 2012. Web. 17 Oct 2019.

Vancouver:

Madhusoodhanan Sathik, Anju Panicker 1. Parallelizing a network intrusion detection system using a GPU. [Internet] [Masters thesis]. University of Louisville; 2012. [cited 2019 Oct 17]. Available from: 10.18297/etd/879 ; https://ir.library.louisville.edu/etd/879.

Council of Science Editors:

Madhusoodhanan Sathik, Anju Panicker 1. Parallelizing a network intrusion detection system using a GPU. [Masters Thesis]. University of Louisville; 2012. Available from: 10.18297/etd/879 ; https://ir.library.louisville.edu/etd/879

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