Secure software engineering requirements in cloud environment by using anticipating learning classifier system
by Wafa' Slaibi Alsharafat
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 6, No. 1, 2015

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.

Online publication date: Wed, 30-Dec-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Internet Technology and Secured Transactions (IJITST):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com