Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...

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 ...

Are you aware that your API gateway, a vital component of modern software architecture, is also one of the most vulnerable points in a network? Shockingly, a 2022 survey by Statista revealed that most ...

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...

In the insideAI News Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get ...

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...

(1) An approach to intrusion detection that establishes a baseline model of behavior for users and components in a computer system or network. Deviations from the baseline cause alerts that direct the ...

Intrusion detection systems (IDS) and anomaly detection techniques are critical components of modern cybersecurity, enabling the identification of malicious activities and system irregularities in ...