MRI
MRI India Journals Vol. 1 No. 3 (2014): Volume 1 Issue 3 2014

MOBSAFE: ANALYSIS OF ANDROID MOBILE APPLICATIONS USING CLOUD COMPUTING AND DATA MINING

Authors

  • Pranjali Deshmukh
  • Pankaj Agarakar

DOI:

https://doi.org/10.65521/mjret.v1i3.977

Keywords:

Android platform, mobile malware detection cloud computing forensic analysis machine learning cloudstack data mining

Abstract

Android is most popular due to its victim. When upload & download any apk file in android then with there are some of malicious activity are operated with android. However, for gets a security of android application, some proposals are performed. Some technologies are like to using cloud computing and data mining concepts. Mobsafe is the way that performs the methodology regarding with Cloudbroid is a mobile application proposed for cloudStack which provides user friendly interface on a mobile phone. Mobsafe is also gives us faamac i.e. forensic analysis of android mobile applications using cloud computing and K-Means algorithm for selective sort of malevolent android applications. We targeted for achieve mobile application security in android mobile.

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Published

2014-10-03

How to Cite

Deshmukh, P., & Agarakar, P. (2014). MOBSAFE: ANALYSIS OF ANDROID MOBILE APPLICATIONS USING CLOUD COMPUTING AND DATA MINING. Multidisciplinary Journal of Research in Engineering and Technology, 1(3), 302–307. https://doi.org/10.65521/mjret.v1i3.977

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