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Proposed Network Intrusion Detection System In Cloud Environment Based on Back Propagation Neural Network | ||
| Journal of University of Babylon | ||
| Article 1, Volume 26, Issue 1, 2018, Pages 2-40 | ||
| Authors | ||
| Shawq Malik Mehibs; Soukaena Hassan Hashim | ||
| Abstract | ||
| Cloud computing is distributed architecture, providing computing facilities and storage resource as a service over the internet. This low-cost service fulfills the basic requirements of users. Because of the open nature and services introduced by cloud computing intruders impersonate legitimate users and misuse cloud resource and services. To detect intruders and suspicious activities in and around the cloud computing environment, intrusion detection system used to discover the illegitimate users and suspicious action by monitors different user activities on the network .this work proposed based back propagation artificial neural network to construct t network intrusion detection in the cloud environment. The proposed module evaluated with kdd99 dataset the experimental results shows promising approach to detect attack with high detection rate and low false alarm rate. | ||
| Keywords | ||
| cloud computing environment; intrusion detection; back propagation algorithm; Machine learning | ||
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