A Review on Fraud and Malware Detection in Google Play |
Author(s): |
| Ashwini Parmeshwar Kidile , SKN Sinhgad Institute of Technology & Science (SKNSITS); Shweta Jadhav, SKN Sinhgad Institute of Technology & Science (SKNSITS); Amruta Mane, SKN Sinhgad Institute of Technology & Science (SKNSITS); Sushant Borate, SKN Sinhgad Institute of Technology & Science (SKNSITS); Prof. Kalpana Kadam, SKN Sinhgad Institute of Technology & Science (SKNSITS) |
Keywords: |
| Android Applications, Fairplay, Fraud Rating |
Abstract |
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Detection is one of the oldest areas of research. The requirement of an effective system that detects frauds effectively with zero loss exists until now. This is due to the increase in the technology, that influences both the ends; the user and the fraudster. Hence it becomes mandatory that the users need to stay a step ahead in this scenario. This paper discusses the changes that had taken place in the area of fraud detection. We have analyzed papers regarding the fraud rating detection and malware detection of application. In this proposed system time stamp of rating and reviews is considered for detecting the review and rank fraud. Malware is also detected before the time of downloading. |
Other Details |
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Paper ID: IJSRDV5I100117 Published in: Volume : 5, Issue : 10 Publication Date: 01/01/2018 Page(s): 123-124 |
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