Predicting Malicious Web Attacks
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."
But this is still treating the symptom as opposed to the core problem, which is poor security in OS and app design.
Microsoft is starting to come around on this to an extent (not running as administrator), but shouldn't we be more concerned about true security?
http://blindscribblings.com - Tasty pop-culture in conceptual fashion.
Or greatly exaggerated...
"The team mined a database of hundreds of millions of security logs"
Nobody actually keeps security logs, certainly not hundreds of millions of somebodies.
The kind of people that DO keep security logs probably wouldn't hand them over either.
I call shenanigans
This sounds great, but only if it requires human intervention to implement the block. I used to work in a NOC, and we would have loved to throw up a warning on the big screens that an attack is 80% likely from the following netblocks in the next N hours. That way we would have a strategy developed for defending before it even started and would be able to minimize downtime.
On the other hand, if you make this automatic you're going to piss off a lot of people very quickly because it's going to be wrong more often than you want.