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Paper Title: Attack On Camera And Finding Fraud Applications From Play Store
Authors Name: Divya Guldhekar , Chaskar Prachi Dilip , Dangat Pooja Arjun , Sukale Shubhangi Rajendra
Unique Id: IJRTI1805005
Published In: Volume 3 Issue 5, May-2018
Abstract: System focus on the security issues related to camera based attacks on smart phones. The fraudulent application and its traitor can be detected by using the defence system that detects the attacks. To evaluate the security system we have planned a camera based fraudulent application for utility study and also we analyzed the performance of the system with the fraudulent applications from the open android market. To download application smart phone user has to visit play store. When user visit play store then he is able to see the various application lists. This list is built on the basis of promotion or advertisement. User does not have knowledge about the application. So user looks at the list and downloads the applications. But sometimes it happens that the downloaded application won’t work or not useful. That means it is fraud in mobile application list. We are going to find the applications those are fraud, from Google play store. We are providing sentiment analysis on the reviews, for finding true positive and false negative of the reviews and also working on NLP algorithm from which we are finding positive comments, negative comments and neutral comments..
Keywords: attacks, fraudulent , Google Play Store, NLP.
Cite Article: "Attack On Camera And Finding Fraud Applications From Play Store", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 5, page no.23 - 27, May-2018, Available :http://www.ijrti.org/papers/IJRTI1805005.pdf
Downloads: 00038
Publication Details: Published Paper ID: IJRTI1805005
Registration ID:180138
Published In: Volume 3 Issue 5, May-2018
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ISSN Number: 2456 - 3315
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