Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: August 2022

Volume 7 | Issue 8

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
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: 000101745
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

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner