10 search results - page 2 / 2 » Segment-Based Injection Attacks against Collaborative Filter... |
ECWEB
2007
Springer
13 years 11 months ago
2007
Springer
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
AAAI
2007
13 years 7 months ago
2007
Collaborative Filtering systems are essentially social systems which base their recommendation on the judgment of a large number of people. However, like other social systems, the...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
WISE
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...