A privacy preserving optimized intelligent security framework for smart homes using zero trust architecture and explainability. [PDF]
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From Pixel Modification to Generative Synthesis: A Survey of Deep Learning for Image Data Hiding. [PDF]
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Enhanced image hash using cellular automata with sponge construction and elliptic curve cryptography for secure image transaction. [PDF]
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IC4SD-Wood-Eucalyptus: A macroscopic transverse-section image dataset with metadata, split manifests, and leakage-audit reports for <i>Eucalyptus</i> wood identification. [PDF]
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The diverse world within: age-dependent photobiont diversity in the lichen Protoparmeliopsis muralis. [PDF]
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Dynamic Consent for Secondary Use of Health Data: Challenges and Opportunities Under European Law. [PDF]
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Chip-integrated quantum signature network over 200 km. [PDF]
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New combinatorial bounds for universal hash functions.
Nguyen, L, Roscoe, A
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Universal Hashing and Geometric Codes
A universal class of hash functions is, grosso modo, a collection of hash functions such that a random choice of a function in the set yields a low probability that any two distinct inputs will collide. The concept is due to Carter and Wegman, and has numerous applications. (See the introduction to [\textit{D. R.
Jürgen Bierbrauer
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Energy scalable universal hashing
IEEE Transactions on Computers, 2005Message authentication codes (MACs) are valuable tools for ensuring the integrity of messages. MACs may be built around a universal hash function (NH) which was explored in the construction of UMAC. In this paper, we use a variation on NH called WH. WH reaches optimally in the sense that it is universal with half the hash length of NH and it achieves ...
Jens-Peter Kaps +2 more
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