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Title: :  FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE
PaperId: :  5349
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5349
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shraddha P. JundhareSinhgad Academy Of Engineering
Priyanka J. Gadekar Sinhgad Academy Of Engineering
Padmaja V. GajareSinhgad Academy Of Engineering
Archana D. AherSinhgad Academy Of Engineering

Abstract

Computer Engineering
Risk Score, Android Devices, NLP, Data Mining
The prominence and usefulness of cell phones has made them appealing focuses for harmful and nosy applications. Android’s current risk communication mechanism relies on users to understand the permissions that an app is requesting and to base the installation decision on the list of permissions. The users do not understand or consider the permission information as it requires technical knowledge. The Android’s main safeguarding mechanism against malicious apps is the risk communication mechanism where usually any user installs the app, is being warned about the permissions the application would require and the user has to make the rightful decision. For mobile devices, one often downloads and uses many applications (or apps) with limited functionality from multiple unknown vendors. Therefore, the defense against malicious applications must depend to a large degree on decisions made by the users. An important part of malware defense on mobile devices is to communicate the risk of installing an app to users, and to enable the user to make informed decisions about whether to choose and install specific apps. We calculate the risk aggregate rating that users can use while choosing applications whether the user needs to use that app or not.

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IJARIIE Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. "FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 1689-1694
MLA Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. "FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 1689-1694.
APA Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, & Archana D. Aher. (2017). FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 1689-1694.
Chicago Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. "FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 1689-1694.
Oxford Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. 'FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 1689-1694. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/FRAUD_APPLICATION_DETECTION_AND_SUMMARY_RISK_SCORE_ijariie5349.pdf (Accessed : 04 February 2018).
Harvard Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. (2017) 'FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 1689-1694IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/FRAUD_APPLICATION_DETECTION_AND_SUMMARY_RISK_SCORE_ijariie5349.pdf (Accessed : 04 February 2018)
IEEE Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher, "FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 1689-1694, May-Jun 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/FRAUD_APPLICATION_DETECTION_AND_SUMMARY_RISK_SCORE_ijariie5349.pdf [Accessed : 04 February 2018].
Turabian Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. "FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 (04 February 2018).
Vancouver Shraddha P. Jundhare, Priyanka J. Gadekar , Padmaja V. Gajare, and Archana D. Aher. FRAUD APPLICATION DETECTION AND SUMMARY RISK SCORE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 04 February 2018]; 3(3) : 1689-1694. Available from: https://ijariie.com/AdminUploadPdf/FRAUD_APPLICATION_DETECTION_AND_SUMMARY_RISK_SCORE_ijariie5349.pdf
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