Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL
PaperId: :  6222
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 4 2017
DUI:    16.0415/IJARIIE-6222
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Neha BelekarMET's IOE,Nasik

Abstract

Computer Engineering
Information leakage, data provenance, accountability, watermarking, distributor, agent, lineage framework, embed watermark, guilty attacker finding, accountable data transfer protocol.
In today’s era, information leakage is one of the most serious threats to companies. A data owner sends secret or confidential information to a group of trusted data consumers. Some of the information is lost and found in an inappropriate place. Thus data has been leaked. Data leakage means data distributed by the data owner is leaked by one or more agents. This causes a huge harm to the business. The distributor must assess whether data is leaked from one or more agents. To enhance the probability of detecting data loss, data allocation strategies (across the agents) are used. A data lineage framework is used for identifying a guilty entity. The digital watermarking is a technique in which vital information is kept hidden in the original data for protecting unauthorised copying and circulation of data. An accountable data transfer protocol can be built using transfer method, watermarking, and signature primitives. In some occasions fake data records can be injected in order to improve detecting data loss and identifying the guilty entity. The data sent by the data owner must be protected, secret and it must not be regenerated. The framework of data lineage is considered for transmission of data and is a key step towards achieving accountability.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Neha Belekar. "DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 4 2017 Page 1811-1821
MLA Neha Belekar. "DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL." International Journal Of Advance Research And Innovative Ideas In Education 3.4(2017) : 1811-1821.
APA Neha Belekar. (2017). DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL. International Journal Of Advance Research And Innovative Ideas In Education, 3(4), 1811-1821.
Chicago Neha Belekar. "DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 4 (2017) : 1811-1821.
Oxford Neha Belekar. 'DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 4, 2017, p. 1811-1821. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/DATA_PROVENANCE__A_DATA_LEAKAGE_DETECTION_MODEL_ijariie6222.pdf (Accessed : 03 May 2021).
Harvard Neha Belekar. (2017) 'DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL', International Journal Of Advance Research And Innovative Ideas In Education, 3(4), pp. 1811-1821IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/DATA_PROVENANCE__A_DATA_LEAKAGE_DETECTION_MODEL_ijariie6222.pdf (Accessed : 03 May 2021)
IEEE Neha Belekar, "DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 4, pp. 1811-1821, Jul-Aug 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/DATA_PROVENANCE__A_DATA_LEAKAGE_DETECTION_MODEL_ijariie6222.pdf [Accessed : 03 May 2021].
Turabian Neha Belekar. "DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 4 (03 May 2021).
Vancouver Neha Belekar. DATA PROVENANCE: A DATA LEAKAGE DETECTION MODEL. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 03 May 2021]; 3(4) : 1811-1821. Available from: http://ijariie.com/AdminUploadPdf/DATA_PROVENANCE__A_DATA_LEAKAGE_DETECTION_MODEL_ijariie6222.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/3/2021 4:21:32 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12