dynamic revealing of anomalous behaviour in mobile cloud infrastructure

Sampathkumar.T,Kanammal.A

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:2         Issue:3         Year: 08 April,2014         Pages:120-129

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 immigrate 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 anomalous behavior detection through the observation of host and network data. To check our procedure, we inserted malicious programs into our mobile cloud test be and utilized a machine learning algorithm and URL Filter to find out from those programs the anomalous behaviour that arise.

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Kewords

Mobile cloud computing mobile cloud infrastructure movable cloud service scenarios anomalous behaviour monitoring system learning.

Reference

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