Citation :

Vengali Sagar, V. Ravi Kumar., "Malware Propagation Detection in Mobile Cloud Infrastructure with Architectural Change," International Journal of Computer Trends and Technology (IJCTT), vol. 3, no. 6, pp. 28-32, 2013. Crossref, https://doi.org/10.14445/22492615/IJPTT-V3I10P103

Abstract

— Now a day’s a lot mobile services are converting to cloud depended mobile services with highly communications and higher flexibility. We explore a unique mobile cloud infrastructure that attaches mobiles and cloud services. This fresh infrastructure gives mobile instances which are virtual among cloud computing. To enter into marketing level various services containing this type of infrastructure, the people which give providers service have to know about these security openings. In this paper, we initially declare different mobile cloud services get into mobile cloud infrastructure and to discuss the security threats that might be chance through the usage of many service scenarios. Then, we explore architecture and methodology for abnormal behavior detection through the observation of host and network data. To check our methodology, we inserted malicious programs into our mobile cloud test be and utilized a machine learning algorithm to find out from those programs the abnormal behavior that arise.

Keywords

- Mobile cloud computing, mobile cloud infrastructure, mobile cloud service scenarios, abnormal behavior monitoring, machine learning

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