Name
Title | ||
|---|---|---|
A Systematic Review Of Scalable Hardware Architectures For Pattern Matching In Network Security |
Abstract | ||
|---|---|---|
Pattern matching algorithms and techniques are extensively deployed in a network intrusion detection system. A plethora of scalable pattern matching hardware architectures exist with several design parameters, and therefore, a systematic literature review is essential. This article classifies the most recent research studies, concerning to the scalable hardware implementations of pattern matching algorithms and techniques, through a systematic literature review. As a result, 49 research studies are selected. The selected research studies are then classified into string matching and regular expression matching algorithms and also analyzed in terms of single character and multi-characters pattern matching. Consequently, a comparative analysis of various algorithms, techniques, and architectures in the light of several design parameters (such as throughput, area, power, frequency, rule set, total signatures etc.) is provided. Based on the comparative analysis, some emerging trends and design challenges are highlighted. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.compeleceng.2021.107169 | COMPUTERS & ELECTRICAL ENGINEERING |
Keywords | DocType | Volume |
Pattern matching algorithms and techniques, Network intrusion detection and prevention, Scalable hardware architectures, Systematic literature review, Design parameters, Emerging trends | Journal | 92 |
ISSN | Citations | PageRank |
0045-7906 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Malik Imran | 1 | 0 | 0.34 |
| Faisal Bashir | 2 | 0 | 0.34 |
| Atif Raza Jafri | 3 | 0 | 0.34 |
| Muhammad Rashid | 4 | 0 | 0.34 |
| Muhammad Najam ul Islam | 5 | 0 | 0.34 |