A Cloud Intrusion Detection Based on Classification of Activities and Mobile Agent

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Author(s): Nadya El Moussaid (Ibn Zohr University, Morocco)and Ahmed Toumanari (Ibn Zohr University, Morocco)
Copyright: 2017
Pages: 14
Source title: Security Management in Mobile Cloud Computing
Source Author(s)/Editor(s): Kashif Munir (University of Hafr Al-Batin, Saudi Arabia)
DOI: 10.4018/978-1-5225-0602-7.ch002

Keywords: Cloud Computing / Computer Science & IT / Information Science Reference / IT Security and Ethics

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Abstract

Cloud computing becomes the technology trend that attracts more and more both of the different forms of companies and attackers, for the reason that cloud computing provides a sharing pool of configured computing resources, such as servers, networks, applications, storage, and services, to end users. Therefore, securing sensitive data of companies from threats and attacks performed by internal or external attackers is a necessary requirement and exigency. For that purpose, in this paper presents an intrusion detection system that is based on mobile agent to collect and analysis gathered data from several virtual machines, in order to benefit from the advantages of mobile agents. The authors of this chapter propose to use C4.5 algorithm which is one of tree decision algorithms that classify data into normal and malicious one. The main purpose of our solution is creating a model of normal and abnormal behaviour.

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A Cloud Intrusion Detection Based on Classification of Activities and Mobile Agent

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