Authors : Mohammed Hasan Ali, Mohamad Fadli Zolkipli, Mustafa Musa Jaber and Mohammed Abdulameer Mohammed
Abstract: Detection of attacks in the computers and networks continues to be a relevant and challenging area of researchers. Intrusion-detection system is an essential technology in network security. Currently, intrusion detection still faces some challenges like large amounts of data to process, low detection rates and high rates of false alarms, especially in cloud environment which more vulnerable to attacks. This study includes an overview of intrusion-detection systems and introduces the reader to some fundamental concepts of IDS methodology to work in cloud computing also discuss the primary intrusion-detection techniques and propose a new classifier algorithm fast learning network to work based on the intrusion-detection system.
Mohammed Hasan Ali, Mohamad Fadli Zolkipli, Mustafa Musa Jaber and Mohammed Abdulameer Mohammed, 2017. Intrusion Detection System Based on Machine Learning in Cloud Computing. Journal of Engineering and Applied Sciences, 12: 4241-4245.