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

摘要

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.