MONITORING AND DETECTING ABNORMAL BEHAVIOUR IN MOBILE CLOUD INFRASTRUCTURE
Hattarki Pooja
, Shruti y
Keywords: Fault Detection, Virtual Mobile Instances Signature based
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.
"MONITORING AND DETECTING ABNORMAL BEHAVIOUR IN MOBILE CLOUD INFRASTRUCTURE", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 8, page no.1 - 4, July-2017, Available :https://ijsdr.org/papers/IJSDR1708001.pdf
Volume 2
Issue 8,
July-2017
Pages : 1 - 4
Paper Reg. ID: IJSDR_170692
Published Paper Id: IJSDR1708001
Downloads: 000347210
Research Area: Engineering
Country: Kalaburagi, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
