Retrieving Hidden Friends: A Collusion PrivacyAttack Against Online Friend Search Engine

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Retrieving Hidden Friends: A Collusion Privacy Attack Against Online Friend Search Engine To buy this project in ONLINE, Contact: Email: jpinfotechprojects@gmail.com, Website: https://www.jpinfotech.org

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Retrieving Hidden Friends: A Collusion Privacy Attack
Against Online Friend Search Engine
ABSTRACT:
Online Social Networks (OSNs) are providing a variety of applications for human
users to interact with families, friends and even strangers. One of such
applications, friend search engine, allows the general public to query individual
users’ friend lists and has been gaining popularity recently. However, without
proper design, this application may mistakenly disclose users’ private relationship
information. Our previous work has proposed a privacy preservation solution that
can effectively boost OSNs’ sociability while protecting users’ friendship privacy
against attacks launched by individual malicious requestors. In this paper, we
propose an advanced collusion attack, where a victim user’s friendship privacy can
be compromised through a series of carefully designed queries coordinately
launched by multiple malicious requstors. The effect of the proposed collusion
attack is validated through synthetic and real-world social network data sets. The
in-depth research on the advanced collusion attacks will help us design a more
robustand securer friend search engine on OSNs in the near future.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium Dual Core.
 Hard Disk : 120 GB.
 Monitor : 15’’ LED

 Input Devices : Keyboard, Mouse
 Ram : 1 GB
SOFTWARE REQUIREMENTS:
 Operating system : Windows 7.
 Coding Language : JAVA.
 Tool : Netbeans 7.2.1
 Database : MYSQL
REFERENCE:
Yuhong Liu and Na Li, “Retrieving Hidden Friends: A Collusion Privacy Attack
Against Online Friend Search Engine”, IEEE Transactions on Information
Forensics and Security, Volume: 14 , Issue: 4 , April 2019.

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Online Social Networks OSNs are providing a diversity of application for human users to network through families, friends and even strangers. One of such application, friend search engine, allows the universal public to inquiry individual client friend lists and has been gaining popularity recently. Proper design, this application may incorrectly disclose client private relationship information. Existing work has a privacy perpetuation clarification that can effectively boost OSNs' sociability while protecting users' friendship privacy against attacks launched by individual malicious requestors. In this project proposed an advanced collusion attack, where a victim user's friendship privacy can be compromise from side to side a series of cautiously designed queries coordinately launched by multiple malicious requestors. The result of the proposed collusion attack is validate through synthetic and real world social network data sets. The project on the advanced collusion attacks will help us design a more vigorous and securer friend search engine on OSNs in the near future. R. Brintha | H. Parveen Bagum "Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Search Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31687.pdf Paper Url :https://www.ijtsrd.com/computer-science/world-wide-web/31687/retrieving-hidden-friends-a-collusion-privacy-attack-against-online-friend-search-engine/r-brintha

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Retrieving Hidden Friends: A Collusion PrivacyAttack Against Online Friend Search Engine

1. Retrieving Hidden Friends: A Collusion Privacy Attack Against Online Friend Search Engine ABSTRACT: Online Social Networks (OSNs) are providing a variety of applications for human users to interact with families, friends and even strangers. One of such applications, friend search engine, allows the general public to query individual users’ friend lists and has been gaining popularity recently. However, without proper design, this application may mistakenly disclose users’ private relationship information. Our previous work has proposed a privacy preservation solution that can effectively boost OSNs’ sociability while protecting users’ friendship privacy against attacks launched by individual malicious requestors. In this paper, we propose an advanced collusion attack, where a victim user’s friendship privacy can be compromised through a series of carefully designed queries coordinately launched by multiple malicious requstors. The effect of the proposed collusion attack is validated through synthetic and real-world social network data sets. The in-depth research on the advanced collusion attacks will help us design a more robustand securer friend search engine on OSNs in the near future. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium Dual Core.  Hard Disk : 120 GB.  Monitor : 15’’ LED

2.  Input Devices : Keyboard, Mouse  Ram : 1 GB SOFTWARE REQUIREMENTS:  Operating system : Windows 7.  Coding Language : JAVA.  Tool : Netbeans 7.2.1  Database : MYSQL REFERENCE: Yuhong Liu and Na Li, “Retrieving Hidden Friends: A Collusion Privacy Attack Against Online Friend Search Engine”, IEEE Transactions on Information Forensics and Security, Volume: 14 , Issue: 4 , April 2019.

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