TCP/IP Reassembly in Network Intrusion Detection and Prevention Systems

Author:

Wang Xiaojun1,Cronin Brendan1

Affiliation:

1. Dublin City University, Dublin, Ireland

Abstract

Deep Packet Inspection (DPI) in Network Intrusion Detection and Prevention Systems (NIDPS) typically involves the matching of packet payloads against attack signatures in the form of fixed strings and regular expressions. As an attack pattern may span multiple IP fragments or TCP segments, accurate DPI requires that the traffic is reassembled prior to analysis of the payload data stream. Although hardware acceleration of the TCP layer, including reassembly, is well known in the form of TCP Offload Engines for Network Interface Cards, only limited research has been conducted into reassembly architectures suited to the particular requirements of DPI systems. The challenging requirements include the tracking and fragment/segment reordering of a potentially very large number of streams in addition to dealing with subtle ambiguities in IP fragmentation and TCP segmentation using target based reassembly or traffic normalization. In this article, the authors present a combined hardware and software architecture which harnesses the resources of the latest FPGA technology to improve on existing research proposals.

Publisher

IGI Global

Subject

Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Short Review on Faster and More Reliable TCP Reassembly for High-Speed Networks in Deep Packet Inspection;2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC);2023-01-23

2. Behavioral Analysis Approach for Likelihood Determination in Cloud IDS: Implementation Architecture;International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics;2018-01

3. Noff: A Novel Extendible Parallel Library for High-Performance Network Traffic Monitoring;2017 24th Asia-Pacific Software Engineering Conference (APSEC);2017-12

4. Intrusion detection in cloud computing based attack patterns and risk assessment;Advances in Science, Technology and Engineering Systems Journal;2017-05

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