Energy efficient and high throughput prefix-based pattern matching technique on TCAMs for NIDS

IF 2.2 3区 工程技术 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Integration-The Vlsi Journal Pub Date : 2024-12-10 DOI:10.1016/j.vlsi.2024.102310
Sameera Shaik , S.M. Srinivasavarma Vegesna , Noor Mahammad S.K.
{"title":"Energy efficient and high throughput prefix-based pattern matching technique on TCAMs for NIDS","authors":"Sameera Shaik ,&nbsp;S.M. Srinivasavarma Vegesna ,&nbsp;Noor Mahammad S.K.","doi":"10.1016/j.vlsi.2024.102310","DOIUrl":null,"url":null,"abstract":"<div><div>Intrusion Detection System (IDS) is a type of packet filtering that ensures network security by analyzing the packets flowing through the network and detecting any malicious pattern(s) present in them. In signature-based NIDS, pattern matching is the critical step as it determines the system’s performance. The throughput of the system, inherently, relies on the delay required to match an input pattern. Hardware-based high-speed pattern matching algorithms are popularly used to speed up the pattern matching process and improve the system’s performance. Ternary Content Addressable Memory (TCAM) is one such memory in which the input pattern is simultaneously launched on all the match lines. Since all the match lines and search lines are activated at a given instance, the power consumed per search is extremely high. To address this issue, this paper proposes an approach in which the match is carried out with an n-bit prefix of the input pattern that enables a smaller TCAM unit, which contains the patterns having this prefix. A significant improvement in energy is observed since a single TCAM segment is enabled for a single search. The results are compared with existing solutions, and energy improvement of 96.1% is observed with worst case and best case throughput of <span><math><mrow><mn>17</mn><mi>G</mi><mi>b</mi><mi>p</mi><mi>s</mi></mrow></math></span> and <span><math><mrow><mn>148</mn><mi>G</mi><mi>b</mi><mi>p</mi><mi>s</mi></mrow></math></span>, respectively.</div></div>","PeriodicalId":54973,"journal":{"name":"Integration-The Vlsi Journal","volume":"101 ","pages":"Article 102310"},"PeriodicalIF":2.2000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integration-The Vlsi Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167926024001743","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

Intrusion Detection System (IDS) is a type of packet filtering that ensures network security by analyzing the packets flowing through the network and detecting any malicious pattern(s) present in them. In signature-based NIDS, pattern matching is the critical step as it determines the system’s performance. The throughput of the system, inherently, relies on the delay required to match an input pattern. Hardware-based high-speed pattern matching algorithms are popularly used to speed up the pattern matching process and improve the system’s performance. Ternary Content Addressable Memory (TCAM) is one such memory in which the input pattern is simultaneously launched on all the match lines. Since all the match lines and search lines are activated at a given instance, the power consumed per search is extremely high. To address this issue, this paper proposes an approach in which the match is carried out with an n-bit prefix of the input pattern that enables a smaller TCAM unit, which contains the patterns having this prefix. A significant improvement in energy is observed since a single TCAM segment is enabled for a single search. The results are compared with existing solutions, and energy improvement of 96.1% is observed with worst case and best case throughput of 17Gbps and 148Gbps, respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Integration-The Vlsi Journal
Integration-The Vlsi Journal 工程技术-工程:电子与电气
CiteScore
3.80
自引率
5.30%
发文量
107
审稿时长
6 months
期刊介绍: Integration''s aim is to cover every aspect of the VLSI area, with an emphasis on cross-fertilization between various fields of science, and the design, verification, test and applications of integrated circuits and systems, as well as closely related topics in process and device technologies. Individual issues will feature peer-reviewed tutorials and articles as well as reviews of recent publications. The intended coverage of the journal can be assessed by examining the following (non-exclusive) list of topics: Specification methods and languages; Analog/Digital Integrated Circuits and Systems; VLSI architectures; Algorithms, methods and tools for modeling, simulation, synthesis and verification of integrated circuits and systems of any complexity; Embedded systems; High-level synthesis for VLSI systems; Logic synthesis and finite automata; Testing, design-for-test and test generation algorithms; Physical design; Formal verification; Algorithms implemented in VLSI systems; Systems engineering; Heterogeneous systems.
期刊最新文献
Synchronization in scale-free neural networks with heterogeneous time delay FPGA implementation of EEG based hardware optimized data encryption technique for IoT applications JoBiS: Joint capacitance and inductance bit stuffing CAC for interposer based multi-chip Deep Learning Accelerator Transimpedance amplifiers for large-area and ultrahigh bandwidth high-energy particle detectors High throughput true random number generator based on dynamically superimposed hybrid entropy sources
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1