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 ...
Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...
The paper explores how artificial intelligence can safeguard privacy in the Internet of Things, mapping vulnerabilities ...
Explainable AI (XAI): Improving transparency in IDS decision-making builds trust and aids compliance with security ...
Timothy E. Smetek, Kenneth W. Bauer Jr. Hyperspectral anomaly detection is a useful means for using hyperspectral imagery to locate unusual objects. Current anomaly detection methods commonly use ...
Modern DevOps pipelines are essential for microservices delivery but can introduce significant risks and inefficiencies ...
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Cyber defense innovation could significantly boost 5G network security
A framework for building tighter security into 5G wireless communications has been created by a Ph.D. student working with ...
Almost two months after a ransomware attack disrupted City of Dallas online services, council members voted to approve a multi-million-dollar contract for upgraded cybersecurity software. Council ...
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