"New Algorithm Identifies Increase in Critical Infrastructure Security Vulnerabilities"

A team of researchers at the Georgia Tech School of Electrical and Computer Engineering (ECE) has developed an algorithm named "PLCHound" to improve critical infrastructure security. The development aims to more accurately identify devices vulnerable to remote cyberattacks. It involves the use of advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques to search through large databases of Internet records as well as log the IP address and security of Internet-connected devices. This article continues to discuss the PLCHound algorithm developed to strengthen critical infrastructure security.

Georgia Tech reports "New Algorithm Identifies Increase in Critical Infrastructure Security Vulnerabilities"