Journal of Information Security

Volume 3, Issue 4 (October 2012)

ISSN Print: 2153-1234   ISSN Online: 2153-1242

Google-based Impact Factor: 3.79  Citations  

State of the Art for String Analysis and Pattern Search Using CPU and GPU Based Programming

HTML  Download Download as PDF (Size: 65KB)  PP. 314-318  
DOI: 10.4236/jis.2012.34038    5,598 Downloads   9,990 Views  Citations

ABSTRACT

String matching algorithms are an important piece in the network intrusion detection systems. In these systems, the chain coincidence algorithms occupy more than half the CPU process time. The GPU technology has showed in the past years to have a superior performance on these types of applications than the CPU. In this article we perform a review of the state of the art of the different string matching algorithms used in network intrusion detection systems; and also some research done about CPU and GPU on this area.

Share and Cite:

M. Góngora-Blandón and M. Vargas-Lombardo, "State of the Art for String Analysis and Pattern Search Using CPU and GPU Based Programming," Journal of Information Security, Vol. 3 No. 4, 2012, pp. 314-318. doi: 10.4236/jis.2012.34038.

Cited by

[1] A survey on memory-centric computer architectures
ACM Journal on …, 2022
[2] Similarity Identification Based on Word Trigrams Using Exact String Matching Algorithms
INTENSIF: Jurnal Ilmiah …, 2022
[3] Improved Parallel Rabin-Karp Algorithm Using Compute Unified Device Architecture
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2, 2017
[4] GPU Based N-Gram String Matching Algorithm with Score Table Approach for String Searching in Many Documents
Journal of The Institution of Engineers (India): Series B, 2017
[5] A Review of String Matching Algorithms and Recent Implementations using GPU
2017
[6] Rancang bangun sistem pencarian alternatif produk dengan metode collaborative collective intelligence dan sorensen-dice coefficient berbasis web (studi kasus …
2016
[7] PARALLEL PATTERN MATCHING USING THE AUTOMATA PROCESSOR
2016
[8] Accelerating Rabin Karp algorithm on a multicore GPU using CUDA
2016
[9] Automata Processor Architecture and Applications: A Survey
International Journal of Grid and Distributed Computing, 2016
[10] Rancang bangun sistem pencarian alternatif produk dengan metode collaborative collective intelligence dan sorensen-dice coefficient berbasis web …
2016
[11] A comparitive analysis of single pattern matching algorithms in text mining
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, 2015
[12] An efficient and scalable semiconductor architecture for parallel automata processing
2014
[13] Accelerating Rabin Karp on a Graphics Processing Unit (GPU) using Compute Unified Device Architecture (CUDA)
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on, 2014
[14] Multi-pattern string matching algorithms comparison for intrusion detection system
AIP Conference Proceedings, 2014

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.