Enhanced Stream Cipher Rabbit Secure Against Power Analysis Attack

Autor: SangJae Moon, MahnKi Ahn, Young-Ho Park, KiSeok Bae
Rok vydání: 2013
Předmět:
Zdroj: Journal of the Institute of Electronics and Information Engineers. 50:64-72
ISSN: 2287-5026
DOI: 10.5573/ieek.2013.50.1.064
Popis: Recently, stream cipher Rabbit was selected for the final eSTREAM portfolio organized by EU ECRYPT and as one of algorithm in part of ISO/IEC 18033-4 Stream Ciphers on ISO Security Standardization. However, a feasibility of practical power analysis attack to algorithm in experiment was introduced. Therefore, we propose appropriate methods such as random masking and hiding schemes to secure against power analysis attack on stream cipher Rabbit. We implement the proposed method with increment of 24% operating time and 12.3% memory requirements due to maintaining a high-speed performance. We use a 8-bit RISC AVR microprocessor (ATmegal128L chip) to implement our method for practical experiments, and verify that stream cipher Rabbit with our method is secure against power analysis attack.
Databáze: OpenAIRE