There exist two key problems about data aggregation that should be thoroughly explored - algorithm design in networking layer, and algorithm design in application layer. Those two problems should be subtlety tackled in termers of high efficiency and robustness. Therefore, the former one requires the survivability and highly reliable design at networking layer, the latter one usually asks for high efficiency and robustness at application layer. Moreover, the optimization of algorithms is also considered for further enhancement. The integrity check is a key requirement for optimization. The context-aware and cross-layer design is applied in the optimization. A dynamic fragment odd-even parity checking code is proposed, and a context-aware aggregative integrity check code is proposed.
목차
Abstract 1. Introduction 2. Context Sensitive Efficient Robust Data Integrity Verification Sensitive 2.1 Modeling of Data Aggregation Integrity Verification Optimization Problem 2.2 The Integrity Verification Based on DFOEP 2.3 Performance Analysis 3. Conclusion References
키워드
Data Aggregationcontext-aware aggregative integrityIoT
저자
Feng Xie [ Naval University of engineering, Wuhan, Hubei, 430033, China ]
Corresponding author
Hu Chen [ Naval University of engineering, Wuhan, Hubei, 430033, China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
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 Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.4