과제정보
이 논문은 2024년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구결과임. (RS-2024-00396269, IC Chip에 대한 오류 주입 보안 검증 및 취약성 분석 시스템 개발)
참고문헌
- Boix Carpi, R., et al. "Glitch It If You Can: Novel Parameter Search Strategies for Successful Fault Injection." CARDIS 2013, Berlin, Germany, 2013.
- Picek, Stjepan, et al. "Evolving genetic algorithms for fault injection attacks." MIPRO 2014, Opatija, Croatia, 2014, pp. 1105-1111.
- Picek, S., et al. "Fault injection with a new flavor: Memetic algorithms make a difference." COSADE 2015, Berlin, Germany, 2015, pp. 159-173.
- Maldini, A., Samwel, N., Picek, S., & Batina, L. (2019). Optimizing electromagnetic fault injection with genetic algorithms. Automated Methods in Cryptographic Fault Analysis, 281-300.
- Rais-Ali, I., et al. "Quantifying the speed-up offered by genetic algorithms during fault injection cartographies." FDTC 2022, Seoul, Korea, 2022, pp. 61-72.
- Krcek, M., & Ordas, T. "Diversity Algorithms for Laser Fault Injection." ACNS 2024, Cham, Switzerland, 2024, pp. 121-138.