"Security in the Cyber City - Methods of Anomaly Detection for the Prevention and Detection of Cyberattacks"
"Security in the Cyber City - Methods of Anomaly Detection for the Prevention and Detection of Cyberattacks"
Researchers at the Thanthai Periyar Government Arts and Science College have proposed using system behavioral modeling as well as unattended or semi-supervised Machine Learning (ML) to help solve the cybersecurity problem in smart cities. According to the team, by training ML models on relevant datasets, security systems can better identify and mitigate cyber threats. An ongoing challenge is ensuring the reliability and completeness of those datasets so that anomalies can be detected confidently.