Computer scientists’ new tool fools hackers into sharing keys for better cybersecurity

Science Daily  February 27, 2020
Researchers at UT Dallas aim to solve a major challenge to using artificial intelligence for cybersecurity: a shortage of data needed to train computers to detect intruders. They have developed a method called DEEP-Dig (DEcEPtion DIGging), which ushers intruders into a decoy site so the computer can learn from hackers’ tactics. The information is then used to train the computer to recognize and stop future attacks. Most cyber defense programs try to disrupt intruders before anyone can monitor the intruders’ techniques. DEEP-Dig will give researchers a window into hackers’ methods as they enter a decoy site stocked with disinformation…read more.