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Creators/Authors contains: "Feng, Xianglong"

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  1. ; ; ; (, GOMACTech 2024)
    Physical computation devices, including CPUs, FPGAs, and GPUs, are integral to cloud computing but face unique security challenges. While cloud infrastructures are pivotal for service delivery, they are susceptible to threats. This paper introduces a novel hardware security framework to bolster cloud infrastructure resilience. Utilizing sidechannel measurements from the power distribution network (PDN), the framework detects anomalies in computational devices. Leveraging Ring Oscillators and Time-to-Digital Converters, we design PDN sensors, further enhancing security with a co-processor for real-time checks based on Neural Network analysis. 
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    Accepted Manuscript Full Text Available
  2. ; ; ; ; ; (, ACM)
  3. ; ; ; ; ; ; (, Proceedings of the 32nd Workshop on Network and Operating Systems Support for Digital Audio and Video)
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  4. ; ; (, ACM Multimedia Systems Conference)
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  5. ; ; (, IEEE Transactions on Visualization and Computer Graphics)
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  6. ; ; ; (, Design, Automation & Test in Europe Conference & Exhibition)
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  7. ; ; ; ; ; (, ACM International Conference on Multimedia)
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  8. ; ; (, IEEE Conference on Virtual Reality and 3D User Interfaces (VR))
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  9. ; ; (, 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST))
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  10. ; ; ; ; ; ; (, ACM International Conference on Multimedia)
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