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.
Highlights
Jack Dongarra [1,2], explains that GPU computing is the use of graphics processing unit together with a CPU to accelerate general-purpose scientific and engineering applications.String matching algorithms allow string or pattern searching in a given text
String matching algorithms are an important piece in the network intrusion detection systems
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 some research done about CPU and GPU on this area
Summary
Jack Dongarra [1,2], explains that GPU computing is the use of graphics processing unit together with a CPU to accelerate general-purpose scientific and engineering applications. The network based network intrusion detection systems apply these algorithms, since most of the processing is found in pattern search. Studies reveal that this process takes about 75% of the total CPU time in modern intrusion detection systems. For this reason the graphic processors, known as GPU, are studied to develop general purpose applications with the GPU [4].
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