Artificial immune systems (AIS) are inspired by the biological immune system and are used in various fields, particularly in anomaly detection. Anomaly detection refers to the identification of ...

Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...

Diagnostic tool for predictive maintenance in lyophilizers: an anomaly detection algorithm that flags abnormal patterns to cut downtime and costs. Get the essential updates shaping the future of ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

Violations of security policies within a computer or network are symbolic of the need for robust intrusion detection. From attackers accessing systems from the internet or authorized users conducting ...

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...