D. Jayashree, K. Sivagami, T. Anju, G. Lavanya, S. Malini
{"title":"Checking falseness in outsourced data storage systems","authors":"D. Jayashree, K. Sivagami, T. Anju, G. Lavanya, S. Malini","doi":"10.1109/ICONSTEM.2016.7560920","DOIUrl":null,"url":null,"abstract":"Mobile Applications of cloud play stores have a tremendous growth nowadays. Numerous applications are available to schedule our day to day activities, checking emails, making conference calls, connect using social network and so on. As the technology grows the fraudulence of applications has also increased. Some Application developers use tricky measures to rank their applications in the top Applications list. For this purpose, a fraud detection mechanism is proposed to help the user about the false outsourced data that is the fraud applications. The detection mechanism is based on the aggregation of the download history, reviews, ratings and active periods of the mobile application. By means of this mechanism the factor of satisfiablity is ensured for the users and the genuine application developers.","PeriodicalId":256750,"journal":{"name":"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONSTEM.2016.7560920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile Applications of cloud play stores have a tremendous growth nowadays. Numerous applications are available to schedule our day to day activities, checking emails, making conference calls, connect using social network and so on. As the technology grows the fraudulence of applications has also increased. Some Application developers use tricky measures to rank their applications in the top Applications list. For this purpose, a fraud detection mechanism is proposed to help the user about the false outsourced data that is the fraud applications. The detection mechanism is based on the aggregation of the download history, reviews, ratings and active periods of the mobile application. By means of this mechanism the factor of satisfiablity is ensured for the users and the genuine application developers.