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» Preventing shilling attacks in online recommender systems
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CCS
2010
ACM
13 years 10 months ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
SP
2009
IEEE
129views Security Privacy» more  SP 2009»
14 years 2 months ago
CLAMP: Practical Prevention of Large-Scale Data Leaks
Providing online access to sensitive data makes web servers lucrative targets for attackers. A compromise of any of the web server’s scripts, applications, or operating system c...
Bryan Parno, Jonathan M. McCune, Dan Wendlandt, Da...
ACSC
2003
IEEE
14 years 22 days ago
A Practical Method to Counteract Denial of Service Attacks
Today distributed denial of service (DDoS) attacks are causing major problems to conduct online business over the Internet. Recently several schemes have been proposed on how to p...
Udaya Kiran Tupakula, Vijay Varadharajan
FC
2006
Springer
129views Cryptology» more  FC 2006»
13 years 11 months ago
Phoolproof Phishing Prevention
Abstract. Phishing, or web spoofing, is a growing problem: the Anti-Phishing Working Group (APWG) received almost 14,000 unique phishing reports in August 2005, a 56% jump over the...
Bryan Parno, Cynthia Kuo, Adrian Perrig
CIG
2005
IEEE
14 years 1 months ago
How to Protect Peer-to-Peer Online Games from Cheats
Abstract- Recently, P2P (peer-to-peer) online game systems have attracted a great deal of public attention. They work without central servers, thus, the maintenance and organizatio...
Haruhiro Yoshimoto, Rie Shigetomi, Hideki Imai