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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | ANALYSIS ON DETECTING FRAUD RANKING FOR MOBILE APPLICATIONS |
| Authors Name: | Parvathi Modugu , J.V Krishna |
| Unique Id: | IJSDR1610022 |
| Published In: | Volume 1 Issue 10, October-2016 |
| Abstract: | Cloud computing has recently emerged as a promising hosting platform that allows multiple cloud users called tenants to share a common physical computing infrastructure. With rapid adoption of the concepts of Software as a Service (SaaS) and Service Oriented Architecture (SOA), the Internet has evolved into an important service delivery infrastructure instead of merely providing host connectivity. In this project, we present IntTest, attestation scheme that can dynamically verify the integrity of data processing results in the cloud infrastructure and pinpoint malicious service providers when inconsistent results are detected. We validate service integrity by analyzing result consistency information with graph analysis. We proposed a new runtime service integrity attestation scheme that employs a novel attestation graph model to capture attestation results among different cloud nodes. We design attestation graph analysis algorithm to pinpoint malicious service providers and recognize colluding attack patterns. Our scheme can achieve runtime integrity attestation for cloud dataflow processing services using a small number of attestation data. Thus, our approach does not require trusted hardware or secure kernel co-existed with third-party service providers in the cloud. Int Test can achieve better scalability and higher detection accuracy than the state-of-the-art schemes. We extend our work in SAAS system to recommend links with improved trust results and with large number of service functions and services with consistency graph. |
| Keywords: | Cloud computing, Secured Data Processing. |
| Cite Article: | "ANALYSIS ON DETECTING FRAUD RANKING FOR MOBILE APPLICATIONS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 10, page no.127 - 131, October-2016, Available :http://www.ijsdr.org/papers/IJSDR1610022.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1610022 Registration ID:160879 Published In: Volume 1 Issue 10, October-2016 DOI (Digital Object Identifier): Page No: 127 - 131 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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