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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Authors Name: Hattarki Pooja , Shruti y
Unique Id: IJSDR1708001
Published In: Volume 2 Issue 8, July-2017
Abstract: Mobile devices with cloud based service are highly effective and they are very flexible and adaptable. Mobile cloud infrastructure is a new concept where mobile devices and cloud services are clubbed together. As it a commodity, service providers should know the security issues. In this paper various security threats are widely discussed based on situation. A new methodology is proposed in order to detect the abnormal behavior. By detect the host and the communication channel certain malicious programs are injected in the test bed in order to identify the abnormal behavior. Using machine learning algorithm, these suspicious programs are detected. To find the next neighboring node and to detect the fault, FDMC algorithm is implemented.
Keywords: Keywords: Fault Detection, Virtual Mobile Instances Signature based
Cite Article: "MONITORING AND DETECTING ABNORMAL BEHAVIOUR IN MOBILE CLOUD INFRASTRUCTURE", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 8, page no.1 - 4, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1708001.pdf
Downloads: 000223215
Publication Details: Published Paper ID: IJSDR1708001
Registration ID:170692
Published In: Volume 2 Issue 8, July-2017
DOI (Digital Object Identifier):
Page No: 1 - 4
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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