Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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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.
Dr. Ritu chhabra. 2012. \u201cCOMPARATIVE STUDY OF BLOOM FILTER ARCHITECTURES\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 12 (GJRE Volume 12 Issue F4): .
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Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 112
Country: India
Subject: Global Journal of Research in Engineering - F: Electrical & Electronic
Authors: Dr. Ritu chhabra, Dr.Vandana Nath (PhD/Dr. count: 2)
View Count (all-time): 200
Total Views (Real + Logic): 5659
Total Downloads (simulated): 2717
Publish Date: 2012 04, Tue
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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.
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