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» Protecting Secret Data from Insider Attacks
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ICDM
2006
IEEE
93views Data Mining» more  ICDM 2006»
16 years 7 days ago
Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks
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...
Zhouxuan Teng, Wenliang Du
IPPS
2007
IEEE
16 years 15 days ago
Recurrent neural networks towards detection of SQL attacks
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 ...
Jaroslaw Skaruz, Franciszek Seredynski
EDBT
2010
ACM
180views Database» more  EDBT 2010»
15 years 10 months ago
k-symmetry model for identity anonymization in social networks
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...
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zh...
ACNS
2010
Springer
156views Cryptology» more  ACNS 2010»
15 years 10 months ago
COP: A Step toward Children Online Privacy
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. ...
Wei Xu, Sencun Zhu, Heng Xu
ECBS
2007
IEEE
118views Hardware» more  ECBS 2007»
15 years 8 months ago
An Event-Driven Architecture for Fine Grained Intrusion Detection and Attack Aftermath Mitigation
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...