Using Green Computing Resources to find Fraud Mobile Apps Based Reviews and Ratings

Authors

  • Lakshmi A M.Phil Research Scholar, Dept. of CS, AVC College (Autonomous), Mannampandal, Mayiladuthurai
  • Devi NV Asst. prof of CS, AVC College (Autonomous), Mannampandal, Mayiladuthurai

Keywords:

Mobile Apps, Ranking scam Detection, Green Computing, Rating And Review

Abstract

The model of Green Computing (GC) is gaining increasing popularly extent in the preceding years. GC is a dynamic research extent which studies proficient use of calculating resource. We apply the GC concept in mobile app development to decrease the time & find scam apps from the app store. The Mobile App is a very widely held and well-known concept due to the fast development in the portable technology. In this concept, we are proposing two enhancements. First of all, utilizing endorsement of scores by the administrator to recognize the correct surveys and rating scores. Next, by a same individual for pushing up that application on the pioneer board are confined. Two different constraints are considered for accepting the feedback given to an application. We are likewise contributing the three kinds of proofs: Ranking grounded confirmation, Rating grounded proof and Review grounded proof. In addition, we propose an enhancement grounded application to incorporate every one of the confirmations for extortion recognition in light of EIRQ (Efficient Information Retrieval for Ranked Query) calculation utilizing GC. Finally, the proposed technique will be assessed with genuine App information which is to be gathered from the App Store for quite a while period.

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Published

2016-10-31

How to Cite

[1]
A. Lakshmi and N. V. Devi, “Using Green Computing Resources to find Fraud Mobile Apps Based Reviews and Ratings”, Int. J. Comp. Sci. Eng., vol. 4, no. 10, pp. 157–160, Oct. 2016.

Issue

Vol. 4 No. 10 (2016): IJCSE October Edition

Section

Review Article

License

Copyright (c) 2025 Lakshmi A, Devi NV

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