Recently K-anonymity has gained popularity as a privacy quantification against linking attacks, in which attackers try to identify a record with values of some identifying attrib...
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adve...
We propose COP, a client-side system for protecting children’s online privacy and empowering parental control over children’s information disclosure with little manual effort. ...
In today’s computing environment, unauthorized accesses and misuse of critical data can be catastrophic to personal users, businesses, emergency services, and even national defe...
Jianfeng Peng, Chuan Feng, Haiyan Qiao, Jerzy W. R...