유전 알고리즘에 기반한 코드 난독화를 위한 인라인 적용 기법

• 영문명: A Technique to Apply Inlining for Code Obfuscation based on Genetic Algorithm
• 발행기관: 한국IT서비스학회
• 저자명: 김정일(Jung-Il Kim) 이은주(Eun-Joo Lee)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제10권 제3호, 167~177쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2011.09.30

영문 초록

Code obfuscation is a technique that protects the abstract data contained in a program from malicious reverse engineering and various obfuscation methods have been proposed for obfuscating intention. As the abstract data of control flow about programs is important to clearly understand whole program, many control flow obfuscation transformations have been introduced. Generally, inlining is a compiler optimization which improves the performance of programs by reducing the overhead of calling invocation. In code obfuscation, inlining is used to protect the abstract data of control flow. In this paper, we define new control flow complexity metric based on entropy theory and N-Scope metric, and then apply genetic algorithm to obtain optimal inlining results, based on the defined metric.

목차

Abstract

1. 서론

2. 관련 연구

3. 평가 메트릭

4. 유전알고리즘을 이용한 인라인 적용 기법

5. 실험 및 평가

6. 결론

참고문헌

저자소개

키워드

Code Obfuscation Genetic Algorithm Inline Complexity Metric