alexa Fraud Detection Using A New Multilayered Detection Sys
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Fraud Detection Using A New Multilayered Detection System

Kaminee Gurav, Manisha Gurabe, Priyanka Suryawanshi, Prof.Sinu Mathew
  1. BE Student, Dept of CSE, University of Mumbai, Atharva college of Engineering, Mumbai, India
  2. BE Student, Dept of CSE, University of Mumbai, Atharva college of Engineering, Mumbai, India
  3. BE Student, Dept of CSE, University of Mumbai, Atharva college of Engineering, Mumbai, India
  4. Assistant Professor, Dept of CSE, University of Mumbai, Atharva college of Engineering, Mumbai, India
Related article at Pubmed, Scholar Google
 

Abstract

Identity theft is a form of stealing someone's identity in which someone pretends to be someone else, usually as a method to gain access to resources or obtain benefits in that person's name. Identity crime is prevalent, and costly; and credit application fraud is a specific case of identity crime or identity theft. The existing non-data mining detection systems that uses business rules and scorecards, and known fraud matching have limitations. To overcome these limitations and combat identity crime in real-time, we propose a new multi-layered detection system consisting of communal detection (CD) and spike detection (SD) layers that are resilient. Resilience is the longterm capacity of a system to deal with change and continue to develop communal detection (CD) finds real social relationships to decrease the suspicion score, and is tamper-resistant to the synthetic social relationships. It is the whitelist oriented approach on a fixed set of attributes [1]. The CD algorithm matches all links against the whitelist to find communal relationships and reduce their link score. CD can detect more types of attacks; better account for changing legal behavior and spike detection (SD) complements CD.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords