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

Authors: Wafa' Slaibi Alsharafat

Addresses: Department of Information Systems, Prince Hussein Bin Abdullah College of Information Technology, Al al-Bayt University, Mafraq, Jordan

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.

Keywords: cloud computing; anticipating classifier systems; denial of service; DoS; probe; user to root; U2R; remote to user; R2L; intrusion detection; genetic algorithms; KDD'99; software engineering requirements; learning classifiers; cloud security; network security; attack detection.

DOI: 10.1504/IJITST.2015.073914

International Journal of Internet Technology and Secured Transactions, 2015 Vol.6 No.1, pp.1 - 8

Received: 05 May 2014
Accepted: 26 Jun 2014
Published online: 30 Dec 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article