
An intrusion detection system monitors and analyzes all the incoming packets, on a given network, to detect any corresponding vulnerabilities and intrusions. It consists of four major modules: packet capturing, packet decoding, packet preprocessing and string/pattern matching. Among these, the string matching is computationally the most intensive part and a number of hardware architectures/designs have already been proposed to accelerate its performance. Consequently, an exploration of existing hardware architectures for string matching algorithms is critical. This paper identifies the most frequently used string matching algorithms and techniques, utilized for the hardware implementation. Subsequently, an exploration of various hardware architectures is provided for the identified algorithms and techniques. Finally, the implementation details of explored architectures are discussed in terms of the used device, consumed hardware resources, operational clock frequency and throughput.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
