AI-Driven Hybrid Detection and Classification Framework for Secure Sleep Health IoT Networks. [PDF]
Clocks SleepValsalan P, Siddiqui MM.
europepmc +1 more source
AI-based intelligent sensing detection of cybersecurity threats using multimodal sensor data in smart devices. [PDF]
Sci RepLatif M +6 more
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Cyber-threat intelligence sharing
The report will describe the architecture of the cyber-threat information sharing tool,including the design of the enriched VDB.
openaire +1 more source
The U.S. health system vulnerabilities. [PDF]
BMC Health Serv ResBrantly ND.
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Overview of Cyber Threat Intelligence
Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, 2017 openaire +1 more source
Enhancing Cyber Situational Awareness Through Dynamic Adaptive Symbology: The DASS Framework. [PDF]
Sensors (Basel)Macrino N, Pallas Enguita S, Chen CH.
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Mitigating shoulder spoofing vulnerabilities in mobile payment systems: a security framework. [PDF]
Sci RepAlqahtani O +5 more
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A Framework for Budget-Constrained Zero-Day Cyber Threat Mitigation: A Knowledge-Guided Reinforcement Learning Approach. [PDF]
Sensors (Basel)Basak M, Shin GY.
europepmc +1 more source
Gen Z Youth in the Battleground: Can AI Interventions Mitigate Risky Gaming Behaviours and Mental Health Harm? [PDF]
Eur J Investig Health Psychol EducSalem MA.
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A multi-layered cryptographic trust reinforcement model against AI-driven threat propagation and zero-day cloud vulnerabilities in healthcare data ecosystems. [PDF]
Sci RepRani M +5 more
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