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Secure software engineering requirements in cloud environment by using anticipating learning classifier system

Published: 01 December 2015 Publication History

Abstract

Cloud computing is a new trend in a network environment. According to new statistics, the number of internet users increased quickly in the last decade. Therefore, there are high demands for keeping their systems and accounts secure against any attempts of attacks or hacking or unauthorised access to system resources. So, different security tools have been adapted to evade security risks, one of these tools is developing a classifier system. In this paper, anticipating learning classifier system as an attack detection mechanism in cloud paradigm is discussed. The main target for this mechanism is increasing the detection ratio, which will be tested by using benchmark datasets called KDD '99.
  1. Secure software engineering requirements in cloud environment by using anticipating learning classifier system

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    Published In

    cover image International Journal of Internet Technology and Secured Transactions
    International Journal of Internet Technology and Secured Transactions  Volume 6, Issue 1
    December 2015
    78 pages
    ISSN:1748-569X
    EISSN:1748-5703
    Issue’s Table of Contents

    Publisher

    Inderscience Publishers

    Geneva 15, Switzerland

    Publication History

    Published: 01 December 2015

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