International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Security Based Pattern Classifiers

Author : Mr. Zaid Alam Khan ¹ Mr. MD Azher ² Mr. Kante Surya ³ Chandra Rao ⁴ Ms. Neelu l ⁵

Date of Publication :7th July 2015

Abstract: Security is usually defined as opposing oneself from harmful attacks. Security is a part of everyone’s life. People wants to be safe and secure all the time but one never knows when his/her system can be attacked by malicious intruders. However upgrading ones security at the highest level possible is a necessary task. Pattern classification systems are commonly used in adversarial applications, such as biometric authentication, network intrusion detection, and spam filtering. It is to be noted that in these three areas data can be purposely manipulated or modified by humans to undermine their operation. These scenarios are not considered by classical design methods. Pattern classification systems may exhibit vulnerabilities, and when exploited may severely affect performance. Extension of pattern classification theory and design methods to real time applications is thus a very relevant research direction which has not yet been pursued in a systematic way and proper way. This paper introduces one of the main open issues: establishing a security system as a real time application which can be used in several organisations such as hospitals, banking system, libraries etc. Reports shows that security evaluation can provide a more complete understanding of the classifier’s behaviour and lead to better design choices.

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