Sign inSubmit
ArticleArticle metrics
Research Article · Free to read · Published 16 August 2012

Reconfigurable Hardware Architecture for Network Intrusion Detection System

A. Kaleel Rahuman1 & G. Athisha1

American Journal of Applied Sciences, Volume 9, Issue 10, pp. 1618–1624 · doi.org/10.3844/ajassp.2012.1618.1624

6,981 accesses5,260 downloads1 citations (Crossref)Journal metrics
Cite Check for updates

Abstract

Intrusion rule processing in reconfigurable hardware enables intrusion detection and prevention. The use of reconfigurable hardware for network security applications has great strides as Field Programmable Gate Array (FPGA) devices have provided larger and faster resources. This proposes architecture called “BV-TCAM” is presented, which is implemented for an FPGA-based Network Intrusion Detection Systems (NIDS). The BV-TCAM architecture combines the Ternary Content Addressable Memory (TCAM) and Bit Vector (BV) algorithm to effectively compress the data representation and throughput. A tree bitmap implementation of the BV algorithm is used for source and destination port lookup while a TCAM performs lookup for other header fields, which can be represented as a prefix or exact value. With the aid of small embedded TCAM, packet classification can be implemented in relatively small part of the available logic of an FPGA. The BV-TCAM architecture has been modelled by VHDL. Simulations were performed by MODELSIM. This architecture have to be synthesized and implement our design using Xilinx FPGA device.

Licence and reuse

Free to read. This article carries the publisher’s copyright, as printed on it: © 2012 Science Publications. It is free to read; ask us before reusing it.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Rahuman, A. K. & Athisha, G. (2012). Reconfigurable Hardware Architecture for Network Intrusion Detection System. American Journal of Applied Sciences, 9(10), 1618–1624. https://doi.org/10.3844/ajassp.2012.1618.1624

Licence
© Science Publications
Issue
Volume 9, Issue 10
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Reconfigurable Hardware Architecture for Network Intrusion Detection SystemAmerican Journal of Applied Sciences · Volume 9, Issue 10 · pp. 1618–1624 · © Science PublicationsDownload