A New Version of the Stream Cipher SNOW
By P. Ekdahl, Thomas Johansson. ACM Symposium on Applied Computing, 2002
326 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/372392700df81c0ef2a87c142a5fe737e725fe52
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Caroline Fontaine
- Fabien Galand
- Thomas Johansson
- Alessandro Barenghi
- Luca Breveglieri
- David Naccache
- Israel Koren
- Manas A. Pathak
In Computer Vision and Pattern Recognition
- Fabien Galand
- Caroline Fontaine
- Alessandro Barenghi
- Luca Breveglieri
- David Naccache
- Israel Koren
- Manas A. Pathak
In Signal Processing
Citations in the corpus
- A Survey of Homomorphic Encryption for Nonspecialists (2007, methodology): “In this category, we can distinguish block ciphers (AES [20, 21]) 1 and stream ciphers (One-time pad presented in Figure 1 [22], Snow 2.0 [23]), 2 which are even faster.”
- Fast Computation of Large Distributions and Its Cryptographic Applications (2005, background): “In Section 4 an application example of our approach to attack SNOW 2.0 is given.”
- Grain: a stream cipher for constrained environments (2007, unknown): “[6, 7] and their predecessors, are based on word oriented LFSRs.”
- Fault Injection Attacks on Cryptographic Devices: Theory, Practice, and Countermeasures (2012, background): “SNOW 3G is the third instance of the SNOW cipher family proposed in [12].”