Nowadays, online availability of the internet resources has proven efficient means of information sharing. Cloud computing environment provides a managed computer system resources to the internet users and companies with options of processing, storage, management and access to data and information within a certain server. Several types of attack can target cloud environment, among these types of attack DDoS attack considered as the most common and dangers type. In this work, a protection system for securing cloud computing environment against DDoS attack has been proposed. The system is designed based on the most common and effective machine learning techniques which is SVM that used for traffics detection and classification. Also, an improved software agent is used as a complemented to the SVM, for anomaly traffics control. Testing dataset is required for test and evaluate the performance of the proposed system, therefor CIDDS dataset has been used. However, according to the obtained results, it is observed that the proposed system achieved the highest results with accuracy of 99.6% in anomaly traffics classification and control during the comparison with the related work

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