International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 91 - Number 14 |
Year of Publication: 2014 |
Authors: Tej Bahadur Shahi, Dadhi Ram Ghimire |
10.5120/15948-5146 |
Tej Bahadur Shahi, Dadhi Ram Ghimire . Comparison of BP and SVM on SLA based Masquerader Detection in Cloud. International Journal of Computer Applications. 91, 14 ( April 2014), 16-20. DOI=10.5120/15948-5146
Cloud computing is a new dynamics in the IT sector which imitates the pay per use modality of many commodity items. Organizations can use the new offerings in the IT field without significant capital investment. However, there is scrutiny in adoption of cloud computing in organizations as there are many economic, security and business risk associated with it. SLA between cloud service provider and cloud service user is a key in maintaining trust in the cloud services and achieve a common goal. Most SLAs focus on cloud computing performance while other issues don't get much attention. This study is oriented to build a masquerade detection system in cloud computing, based on the proposed SLA. The new SLA contains additional security constraints than that found in traditional SLA such as length of temporal sequence, weight of each activities and the threshold weight of the temporal sequence. The performance analysis includes comparison of Back Propagation algorithm with Support Vector Machine (SVM). The detection rate and false alarm rate is observed and found that it can detect masqueraders well from the small set of training data with small false alarm rate.