Optimizing Fast Near Collision Attack on Grain Using Linear Programming

Optimizing Fast Near Collision Attack on Grain Using Linear Programming

In 2018, an attack named fast-near-collision attack (FNCA) was proposed, which is an improved version of near-collision attack (NCA) on Grain-v1, one of the three hardware-oriented finalists of the eSTREAM project. FNCA is designed as a key recovery attack and takes a divide-and-conquer strategy tha...

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Bibliographic Details
Main Authors: Senshan Pan, Yueping Wu, Liangmin Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cryptanalysis
grain
near collision
stream ciphers
time-memory-data tradeoff attacks
Online Access:https://ieeexplore.ieee.org/document/8932480/

Internet

https://ieeexplore.ieee.org/document/8932480/

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