New Cybersecurity Software Uses Honeypots to Stop Cyber Attacks
Feb-08-20
As attacks on government targets increase, Purdue University has created a new detection system called LIDAR (Lifelong, Intelligent, Diverse, Agile and Robust) that alerts organizations to cyberattacks. The system is made up of supervised machine learning, unsupervised machine learning and rule-based learning. It is the rule-based component that acts as the control centre, taking information from the other two parts to decipher the validity of a potential attack the determine which steps to take to thwart it.
A novel feature is use of a curiosity-driven honey pot which lures attackers while barring them from infiltration the system.
More Info about this Invention:
[RDWORLDONLINE.COM][PURDUE.EDU]
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Are such applications available for private people and teams to mislead possible attackers with irrelevant and fake information?
Posted by Uolevi Kattun on February 10, 2020
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Are such applications available for private people and teams to mislead possible attackers with irrelevant and fake information?
Posted by Uolevi Kattun on February 10, 2020
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