Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleMetrics
Research Article · Free to read · Published 4 April 2011

Comparative Power Analysis of Precomputation Based Content Addressable Memory

M. Arun & A. Krishnan

Journal of Computer Science, Volume 7, Issue 4, pp. 471–474 · doi.org/10.3844/jcssp.2011.471.474

6,598 accesses5,650 downloads1 citations (Crossref)Metrics
Cite Check for updates

Abstract

Problem statement: In this study we discus about Signature Detection Technique (SDT) used in Network Intrusion Detection System (NIDS). Design of SDT using Content Addressable Memory (CAM) is discussed. Approach: Two novel architectures, XOR and ones count based Pre computation CAM architectures are proposed and implemented in third party back end tool with 0.18 mm technology, power consumptions are compared. Results: Proposed architecture consumes 90% less power added with 5.2% increment in speed. Conclusion: Power reduction was achieved by reducing the number of bit comparisons of pre computation technique.

Licence and reuse

Free to read. This article carries the publisher’s copyright, as printed on it: © 2011 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

Arun, M. & Krishnan, A. (2011). Comparative Power Analysis of Precomputation Based Content Addressable Memory. Journal of Computer Science, 7(4), 471–474. https://doi.org/10.3844/jcssp.2011.471.474

Licence
© Science Publications
Issue
Volume 7, Issue 4
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Comparative Power Analysis of Precomputation Based Content Addressable MemoryJournal of Computer Science · Volume 7, Issue 4 · pp. 471–474 · © Science PublicationsDownload