Quantum security of hash functions and property-preservation of iterated hashing
February 23, 2019 Β· Declared Dead Β· π Post-Quantum Cryptography
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Ben Hamlin, Fang Song
arXiv ID
1902.08709
Category
quant-ph: Quantum Computing
Cross-listed
cs.CR
Citations
14
Venue
Post-Quantum Cryptography
Last Checked
4 months ago
Abstract
This work contains two major parts: comprehensively studying the security notions of cryptographic hash functions against quantum attacks and the relationships between them; and revisiting whether Merkle-Damgard and related iterated hash constructions preserve the security properties of the compression function in the quantum setting. Specifically, we adapt the seven notions in Rogaway and Shrimpton (FSE'04) to the quantum setting and prove that the seemingly stronger attack model where an adversary accesses a challenger in quantum superposition does not make a difference. We confirm the implications and separations between the seven properties in the quantum setting, and in addition we construct explicit examples separating an inherently quantum notion called collapsing from several proposed properties. Finally, we pin down the properties that are preserved under several iterated hash schemes. In particular, we prove that the ROX construction in Andreeva et al. (Asiacrypt'07) preserves the seven properties in the quantum random oracle model.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Quantum Computing
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Quantum machine learning: a classical perspective
R.I.P.
π»
Ghosted
Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers
R.I.P.
π»
Ghosted
ProjectQ: An Open Source Software Framework for Quantum Computing
R.I.P.
π»
Ghosted
Quantum Recommendation Systems
R.I.P.
π»
Ghosted
Traffic flow optimization using a quantum annealer
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted