Network intrusion detection and pattern matching techniques form a critical pillar in contemporary cybersecurity. These methods enable the identification of malicious activities by scrutinising ...

Early and accurate detection of network intrusions is crucial to ensure network security and stability. Existing network intrusion detection methods mainly use conventional machine learning or deep ...

The rapid expansion of Internet of Things (IoT) networks has significantly increased security vulnerabilities, exposing critical infrastructures to sophisticated cyberattacks. Traditional Intrusion ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

RANCH: Chakradharpur (CKP) Division under South Eastern Railway is all set to install an Artificial Intelligence (AI)-based Elephant Intrusion Detection System ...

Hardware Trojans Detection Using GNN in RTL Designs” was published by researchers at University of Connecticut and University ...

China-nexus actors are using a network of Operational Relay Boxes (ORBs) including compromised connected devices to target ...

SecurityScorecard uncovers ‘LapDogs’ – a covert ORB network compromising Soho routers, with Ruckus and Buffalo devices among ...

The simple landlines once used to call friends or family evolved into omnipresent glossy screens that flood our brain with ...

MKS Inc., a global provider of enabling technologies that transform the world, announces the next generation of Newport™ ODiate® Fluorescence Filter Sets, an expanded filter portfolio that includes ...

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