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Identification of Merged Bio-cryptic Patterns using Bio-Pattern Recognition Algorithm in Security Levels of Wireless Local Area Network

by Ajay Babu Moparthi, Sudhakar Godi, Rajasekhara Rao Kurra
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 14
Year of Publication: 2015
Authors: Ajay Babu Moparthi, Sudhakar Godi, Rajasekhara Rao Kurra
10.5120/ijca2015906290

Ajay Babu Moparthi, Sudhakar Godi, Rajasekhara Rao Kurra . Identification of Merged Bio-cryptic Patterns using Bio-Pattern Recognition Algorithm in Security Levels of Wireless Local Area Network. International Journal of Computer Applications. 126, 14 ( September 2015), 15-19. DOI=10.5120/ijca2015906290

@article{ 10.5120/ijca2015906290,
author = { Ajay Babu Moparthi, Sudhakar Godi, Rajasekhara Rao Kurra },
title = { Identification of Merged Bio-cryptic Patterns using Bio-Pattern Recognition Algorithm in Security Levels of Wireless Local Area Network },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 14 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number14/22620-2015906290/ },
doi = { 10.5120/ijca2015906290 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:27.792797+05:30
%A Ajay Babu Moparthi
%A Sudhakar Godi
%A Rajasekhara Rao Kurra
%T Identification of Merged Bio-cryptic Patterns using Bio-Pattern Recognition Algorithm in Security Levels of Wireless Local Area Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 14
%P 15-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Authentication module plays a vital role in securing wired or wireless network from intrusion attacks. Especially Wireless Networks (WN) are more prone to the security threats. This paper discusses in strengthening the authentication process of Wireless Local Area Network (WLAN) by recognition of various levels of Wireless Authentication Packets (WAP). The WAP comprises of diverse combinations of Bio-cryptic merged patterns like thumb-print, Iris, Palm-print and face. WAP is used in accordance with the security level. In general, the biometric pattern matching algorithm is used to match the patterns individually. But in WLAN, the Advanced Radius Authentication Server (ARAS) comprises of Merged Bio-cryptic pattern matching and identification is a challenging task for the practitioners and investigators. To resolve the above issue, this work proposes a novel Bio-Pattern Recognition (BPR) Algorithm for the effective recognition of the Bio-cryptic patterns. The proposed algorithm was compared with the existing each individual recognition algorithm. Where reliability, recognition time, True Positive Identification Rate (TPIR) and  False Negative Identfication Rate (FNIR) were considered as major parameters. Finally the experimental results show the overall performance of the proposed BPR algorithm is better in patter recognition with respect to the recognition time.

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Index Terms

Computer Science
Information Sciences

Keywords

Bio-Cryptography Bio-pattern recognition algorithm Quality-of-Security ASPS SPSS Biometrics Security Level Enhanced Merged Bio-cryptic Security- Aware Packet Scheduling-Algorithm Bio-cryptic Security-Aware Packet Scheduling-Algorithm BSPS EBSPS MMBSPS BPR Algorithm.

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