지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 47 - 57 (11page)
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초록· 키워드
오류제보하기
Research on sensor network had been focused on security services that provide authentication, confidentiality, integrity and availability until recently, but now there is growing interest in tackling the problem of actual sensor IDs being exposed. Many techniques for providing anonymity to the source in an ad-hoc network have been proposed, but they are not suitable. Thus, a technique that is well-suited to the characteristics of sensor networks is needed. This paper, limiting the type of attack against a sensor network to that of eavesdropping, proposes a new technique for providing anonymity using Phantom ID and SMAC. The degree of anonymity provided by the proposed technique was analyzed using an entropy-based modeling technique. The results showed that the anonymity is high when the proposed technique is used. The key factor responsible for the improved anonymity had to do with disguising the sensor ID so that it can’t be found easily.
목차
Abstract
Introduction
Motivation for Research
Privacy Scheme for Sensor Node Anonymity
Implementation Security Model
Privacy Evaluation Model
Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2015-500-002465901