‘Enhanced Attribution’ will anonymise threat data, reveal past and future crimes
The US Military skunkworks Defense Advanced Research Projects Agency (DARPA) is hoping to build a platform to help bolster the treacherous world of attack attribution that would generate, anonymise, and share threat data.
Project lead Angelos Keromytis says there is presently little chance that a criminal will be caught.”Malicious actors in cyberspace currently operate with little fear of being caught due to the fact that it is extremely difficult, in some cases perhaps even impossible, to reliably and confidently attribute actions in cyberspace to individual,” Keromytis says.”The reason cyber attribution is difficult stems at least in part from a lack of end-to-end accountability in the current internet infrastructure.
“Cyber campaigns spanning jurisdictions, networks, and devices are only partially observable from the point of view of a defender that operates entirely in friendly cyber territory.”
DARPA wants god-mode attribution platform to pin and predict crime • The Register
DARPA wants ideas about how to identify actors using physical and behavioural biometrics, break down tools into knowledge “representations”, draw on open source data, and to build webs of information to reveal past and present malicious activity.
It should also sport algorithms to predict criminal campaign behaviour.