📞 +91-7667918914 | ✉️ iarjset@gmail.com
International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
IARJSET aligns to the suggestive parameters by the latest University Grants Commission (UGC) for peer-reviewed journals, committed to promoting research excellence, ethical publishing practices, and a global scholarly impact.
← Back to Archives

Abnormal Behaviour Detection using Mobile Cloud Infrastructure

Prof. Sumalatha D. Bandari, Sana I. Mulla

👁 3 views📥 0 downloads
Share: 𝕏 f in
Abstract: Now days, some mobile services are changed with cloud-based mobile services with richer communication and greater flexibility. So, we now present new mobile cloud infrastructure with including features of mobile devices and cloud services. With cloud computing this infrastructure provides the virtual mobile instance. For commercialize new services, service providers should be aware from security obstacles. Hence we introduce new mobile cloud services with mobile cloud infrastructure and defines possible security problems with use of some service scenario. Hence, we introduce methodology and architecture for detecting abnormal behavior through the monitoring of host and network data. To validate our methodology, we used machine learning algorithm to detect the abnormal behavior that arose from these programs. Keywords: Mobile devices, Random Forest Machine Learning algorithm, Abnormal Behaviour.

How to Cite:

[1] Prof. Sumalatha D. Bandari, Sana I. Mulla, “Abnormal Behaviour Detection using Mobile Cloud Infrastructure,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET/NCIARCSE.2017.14

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.