Results 181 to 190 of about 5,964 (223)

Machine learning-assisted abstract screening on learning analytics: a step-by-step tutorial. [PDF]

Syst Rev
Xu Z, Ma S, Zhuang X, Adeyemi AE, Kogut A.   +4 more
europepmc   +1 more source

Integrated forecasting and deep reinforcement learning for price-based self-scheduling of PV-BESS: Utility-scale evidence in Chile. [PDF]

PLoS One
Pérez J, Lobos G, Bonacic M.
europepmc   +1 more source

A Kyber-Based Lightweight Cloud-Assisted Authentication Scheme for Medical IoT. [PDF]

Sensors (Basel)
Yan H, Wang Z, Lin L, Sun J, Liu S.
europepmc   +1 more source

Digital Twin-Enabled Waveform Optimization for VHF Radio Communication Systems. [PDF]

Sensors (Basel)
Zhong C, Liu B, Zhu W, Wang B, Tan Y, Wang X.   +5 more
europepmc   +1 more source

How Risky Is the Random-Oracle Model? [PDF]

Lecture Notes in Computer Science, 2009
RSA-FDH and many other schemes secure in the Random-Oracle Model (ROM) require a hash function with output size larger than standard sizes. We show that the random-oracle instantiations proposed in the literature for such cases are weaker than a random oracle, including the proposals by Bellare and Rogaway from 1993 and 1996, and the ones implicit in ...
Gaëtan Leurent, Leurent Gaëtan, Nguyen Phong Q   +2 more
exaly   +3 more sources

Adaptive Proofs of Knowledge in the Random Oracle Model [PDF]

Lecture Notes in Computer Science, 2015
The authors define a notion of adaptive proofs of knowledge (PoKs) in the random oracle model (ROM). These are proofs where the malicious prover can adaptively issue multiple statements and proofs, and where the extractor is supposed to extract a witness for each statement.
David Bernhard, Marc Fischlin, Bogdan Warinschi   +2 more
exaly   +7 more sources

Some of the next articles are maybe not open access.

Related searches:

Non-Observable Quantum Random Oracle Model

Lecture Notes in Computer Science, 2023
Varun Maram, Daniel Masny, Alamati Navid   +2 more
exaly   +3 more sources