A new cyber crime detection system by MIT produces 85% accurate results

Researchers at Massachusetts Institute of Technology have created a tool that precisely detects cyber attacks. The tool can efficiently detect attacks with 85% accuracy. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and machine-learning startup PatternEx has developed an artificial intelligence system called AI2, which is better than any existing cyber-attack detection system. What is unique about this new system is that it is combination of both human intuition and machine learning. The system has been tested on 3.6 billion log lines or pieces of data that reveal major system activities triggered by millions of users over a period of three months. The new system offer three times more accuracy in detecting the cyber attack. Earlier cyber security systems used so far are either exclusively virtual machine-based…


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