KentuckyFC writes "Recommendation systems attempt to guess what books, movies, or news people are likely to be interested in. Companies such as Amazon, Google, and Netflix have developed algorithms to mine vast databases looking for correlations that they then use to recommend new items. Now a team of computer scientists has used some of the same filtering techniques to predict the origin of malicious Web attacks so that they can be blacklisted in advance. The team mined a database of hundreds of millions of security logs looking for correlations between victims. The correlations were then used to produce a predictive blacklist of potential attackers. The team says its algorithm is up to 70 per cent more successful at predicting the origin of attacks than current state-of-the-art predictive blacklisting."