scholarly journals Composite Behavioral Modeling for Identity Theft Detection in Online Social Networks

Author(s):  
Cheng Wang ◽  
Hangyu Zhu ◽  
Bo Yang
2014 ◽  
Author(s):  
Constantin SPÂNU

Social networking sites such as Facebook and Twitter have gained more popularity in recent years. Because of its large user base, and large amount of information, they become a potential channel for attackers to exploit. Many social networking sites try to prevent those exploitations, but many attackers are still able to overcome those security countermeasures by using different techniques. Social network users may not be aware of such threats. Therefore, this paper will present a survey on different privacy and security issues in online social networks. The issues include privacy issues, identity theft, social networks spam, social networks malware, and physical threats. Social network privacy issues, social network security issues, social network threats, identity Theft, social network spam, social network malware, Facebook worms, Twitter Worms.


2011 ◽  
Author(s):  
Seokchan Yun ◽  
Heungseok Do ◽  
Jinuk Jung ◽  
Song Mina ◽  
Namgoong Hyun ◽  
...  

2013 ◽  
Vol E96.B (11) ◽  
pp. 2774-2783 ◽  
Author(s):  
Safi-Ullah NASIR ◽  
Tae-Hyung KIM

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