Network Intrusion Detection Using Hardware Techniques: A Review

被引:0
|
作者
Abdulhammed, Razan [1 ]
Faezipour, Miad [1 ]
Elleithy, Khaled M. [1 ]
机构
[1] Univ Bridgeport, Dept Comp Sci & Engn, Bridgeport, CT 06604 USA
关键词
Intrusion detection system; FPGA; GPU; NFA; DFA; Pattern matching; TCAM; ASIC; Many-Core Processors; PACKET CLASSIFICATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The increasing amount of network throughput and security threat makes intrusion detection a major research problem. In the literature, intrusion detection has been approached by either a hardware or software technique. This paper reviews and compares hardware based techniques that are commonly used in intrusion detection systems with a special emphasis on modern hardware platforms such as FPGA, GPU, many-core processors and ASIC. It also provides a detailed comparison between these hardware solution platforms. Our approach to classify modern hardware-based Intrusion Detection System (IDS) techniques is based on the detection approach. In addition, we provide a comparison between the classified detection approaches based on essential criteria such as definition, update process, detection ability, features of the system, and implementation requirements. Finally, a classification tree of hardware-based NIDS platforms is given.
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页数:7
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