상세정보
학술대회
A Study of Template Clustering in the Side Channel Template Analysis
- 저자
- 김태성
- 발행일
- 201810
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1295-1297
- 협약과제
- 18HH1300, 사물인터넷 디바이스 안전한 키은닉 기술 연구, 강유성
- 초록
- The side channel analysis reveals the secret key by exploiting the side information that occurs during the execution of the encryption algorithm. Template analysis, one of the side channel analysis, is to learn the characteristics of the device before attack in relation to the side information. The characteristics of a device are represented by templates and this is the result of learning. The number of templates is determined by a criterion. For example, if the byte length is a reference, 256 templates are created. If one template attack fails, the procedure of changing the criteria and creating a new template should be repeated. In this paper, we propose clustering method of templates with similarity. Clustering prevents repetitive template creation and attack. It is expected that the template analysis using the proposed method will have high accuracy and efficiency.
- KSP 제안 키워드
- Accuracy and efficiency, Clustering method, Encryption algorithm, High accuracy, Side-channel analysis, Template Attack, Template analysis, Template creation, secret key, side information