"We are interested in the targeted attacks where the attacker is trying to exploit data or critical infrastructure resources, such as blocking data access, tampering facts or stealing data," said Prasad Calyam, associate professor of electrical engineering and computer science and the director of Cyber Education and Research Initiative in the MU College of Engineering. "Attackers are trying to use peoples' compromised resources to infiltrate their data without their knowledge, and these attacks are becoming increasingly significant because attackers are realizing they can make money in a big way like never before."
In this study, the researchers focused on two types of cyberattacks -- those seeking customer data and those stealing resources such as bitcoins, a type of digital currency. Their strategy uses artificial intelligence techniques and psychology principles -- giving the cyberattacker false hope that the attack is working.
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