Shaimaa A. El-said, El-said, Khalid F. A. Hussein, Mohamed M. Fouad
언어
영어(ENG)
URL
https://www.earticle.net/Article/A148421
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
Multimedia is one of the most popular data shared in the Web, and the protection of it via encryption techniques is of vast interest. In this paper, an Optimized Multiple Huffman Tables (OMHT) technique is proposed to face some compression and security problems found in Multiple Huffman Tables (MHT) technique. OMHT depends on using statistical-modelbased compression method to generate different tables from the same data type of images or videos to be encrypted leading to increase compression efficiency and security of the used tables. A systematic study on how to strategically integrate different atomic operations to build a multimedia compression-encryption system is presented. The resulting system can provide superior performance over both generic encryption and its simple adaptation to multimedia in terms of a joint consideration of security, and bitrate overhead. The effectiveness of this scheme is verified through a series of experiments, and the robustness of our approach is demonstrated by comparing it against a standard compression technique, JPEG on which the MHT technique is built.
목차
Abstract 1. Introduction 2. Optimized Multiple Huffman Tables Technique 3. OMHT Performance Analysis 3.1. Assessment Based On Video Quality 3.2. Assessment Based On Subjective Evaluation 3.3. Assessment based on cryptographic analysis 4. Conclusion References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition vol.4 no.1