Hardware design for statistical network traffic classifiers

Chun Nan Lu, Yuan Cheng Lai, Chun-Ying Huang, Ying-Dar Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Signature matching is commonly used in network traffic classification and can provide accurate and efficient results. However, it requires constant updates of signatures and can't be applied to encrypted traffic. Statistical behavior-based approaches can avoid the drawback of payload encryption. However, the computational complexity of related statistical features may prevent them being deployed in systems that are expected to respond in limited time. In this work, we combine the advantages of statistics-based classification approaches and hardware design techniques to develop a balanced classifier that can provide timely responses to. Two statistics-based solutions, a message size distribution classifier (MSDC) and a message size sequence classifier (MSSC) which depend on classification accuracy and real timeliness are proposed. The former aims to identify network flows in an accurate but not-so-fast manner, while the latter aims to provide a lightweight and real-time solution. Simulations showed that MSSC contributed 77.4% and MSDC contributed 22.6% of decision rounds. Furthermore, our design can achieve an accuracy of more than 94% while achieving a throughput of 80 Gbps.

Original languageEnglish
Title of host publication2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2425-2429
Number of pages5
ISBN (Electronic)9781467390262
DOIs
StatePublished - 10 May 2017
Event2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, China
Duration: 14 Oct 201617 Oct 2016

Publication series

Name2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

Conference

Conference2nd IEEE International Conference on Computer and Communications, ICCC 2016
CountryChina
CityChengdu
Period14/10/1617/10/16

Keywords

  • Hardware classifier
  • Message size distribution
  • Packet size
  • Sequence
  • Traffic classification

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