Retrieving Hidden Friends: A Collusion Privacy Attack Against Online Friend Search Engine
Online Social Networks (OSNs) are providing avariety of applications for human users to interact with families,friends and even strangers. One of such applications, friendsearch engine, allows the general public to query individualusers’ friend lists and has been gaining popularity recently.However, without proper design, this application may mistakenlydisclose users’ private relationship information. Ourprevious work has proposed a privacy preservation solutionthat can effectively boost OSNs’ sociability while protectingusers’ friendship privacy against attacks launched by individualmalicious requestors. In this paper, we propose an advancedcollusion attack, where a victim user’s friendship privacy canbe compromised through a series of carefully designed queriescoordinately launched by multiple malicious requstors. The effectof the proposed collusion attack is validated through syntheticand real-world social network data sets. The in-depth researchon the advanced collusion attacks will help us design a morerobust and securer friend search engine on OSNs in the nearfuture.
- System : Pentium Dual Core.
- Hard Disk : 120 GB.
- Monitor : 15’’ LED
- Input Devices : Keyboard, Mouse
- Ram : 1 GB
- Operating system : Windows 7.
- Coding Language :
- Tool : Netbeans 7.2.1
- Database : MYSQL
Yuhong Liu and Na Li, “Retrieving Hidden Friends: A Collusion PrivacyAttack Against Online Friend Search Engine”, IEEE Transactions on Information Forensics and Security, Volume: 14 , Issue: 4 , April 2019.