COMPARATIVE STUDY OF BLOOM FILTER ARCHITECTURES

Dr. Ritu chhabra

COMPARATIVE STUDY OF BLOOM FILTER ARCHITECTURES

Dr. Ritu chhabra * §

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COMPARATIVE STUDY OF BLOOM FILTER ARCHITECTURES

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Abstract

Hardware based virus protection systems are required for identifying the malicious content and further removing it from network streams. Network Intrusion Detection System(NIDS) is needed to protect the end user machines from threats. An effective NIDS is therefore a network security system capable of protecting the end user machines well before a threat affects.NIDS requires a space efficient data base for detection of threats in high speed conditions. Bloom Filters are one of the security filters that consume significant power to detect and then filter out malicious content. A Bloom filter is a space efficient randomized data structure for representing a set in order to support membership queries. The aim of this paper is to compare the different architectures of Bloom filter like Standard Bloom filter, pipelined bloom filter, counting Bloom filter and parallel processing architecture of bloom filter in terms of their merits and demerits by using algorithmic & architectural techniques.

References

9 Cites in Article

Reference Format

I Kaya,T Kocak (2006). A Low Power Lookup Technique for Multi-Hashing Network Applications.
Ilhan Kaya,Taskin Kocak (2006). Low power Bloom filter architecture for deep packet inspection.
Michael Paynter,Taskin Kocak (2008). Fully Pipelined Bloom Filter Architecture.
Mahmood Ahmadi,Stephan Wong (2009). K-Stage Pipelined Bloom Filter for Packet Classification.
Bin Xio,& Yuhua (2010). using Parallel Bloom Filters for multiattribute Representation on Network Services.
K Dr,. Senthil Kumar,J Dolian (2011). A Recent Survey on Bloom Filters in Network Intrusion Detection Systems.
Burton Bloom (1970). Space/time trade-offs in hash coding with allowable errors.
S Dharmapurikar,P Krishnamurthy,T Sproull,J Lockwood (2004). Deep packet inspection using parallel Bloom filters.
Ilhan Kaya,Taskin Kocak (2006). Increasing the power efficiency of Bloom filters for network string matching.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. chhabra. 2012. "COMPARATIVE STUDY OF BLOOM FILTER ARCHITECTURES". Global Journal of Research in Engineering, Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 12 (GJRE Volume 12 Issue F4).

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GJRE Volume 12 Issue F4

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Bloom filters FPR (False positive rate)network intrusion detection universal hash function

Classification

GJCST Classification C.2.0

Submission ReceivedFebruary 14, 2012
Peer Review Double Blind
Handling Editor
Accepted March 3, 2012
Published March 15, 2012

Version of record

v1.2

Issue date

April 3, 2012

Language

English

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Article Matrices

Total Score: 112

Country: India

Subject: Global Journal of Research in Engineering

Authors: Dr. Ritu chhabra, Dr.Vandana Nath (PhD/Dr. count: 2)

View Count (all-time): 394

Total Views (Real + Logic): 1936

Total Downloads (simulated): 137

Publish Date: 2012 03, Thu

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Total Views: 1.9K

Total Downloads: 137

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