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
- 2016.1
- 수록면
- 73 - 78 (6page)
이용수
초록· 키워드
오류제보하기
In wireless sensor networks, sensors have capabilities of sensing and wireless communication, computing power and collect data such as sound, movement, vibration. Sensors need to communicate wirelessly to send their sensing data to other sensors or the base station and so they are vulnerable to many attacks like garbage packet injection that cannot be prevented by using traditional cryptographic mechanisms. To defend against such attacks, a behavior-based attack detection is used in which some specialized monitoring nodes overhear the communications of their neighbors(normal nodes) to detect illegitimate behaviors. It is desirable that the total sensing area of normal nodes covered by monitoring nodes is as large as possible. The previous researches have focused on selecting the monitoring nodes so as to maximize the number of normal nodes(node coverage), which does not guarantee that the area sensed by the selected normal nodes is maximized. In this study, we have developed an algorithm for selecting the monitoring nodes needed to cover the maximum sensing area. We also have compared experimentally the covered sensing areas computed by our algorithm and the node coverage algorithm.
목차
Abstract
I. Introduction
II. Related Works
III. Proposed Method
IV. Performance Evaluation
V. Conclusion
REFERENCES
참고문헌 (11)
참고문헌 신청
A. Stetsko, L. Folkman and V. Matyas, “Neighbor-based Intrusion Detection for Wireless Sensor Networks,” Proceedings of 6th International Conference on Wiress and mobile Communications, pp.420-425, 2010
D. Subhadrabandhu, S. Sarkar, and F. Anjum,“A framework for misuse detection in adhoc networks-part I,” IEEE Journal on Selected Areas in Communications, Special Issue on Security in Wireless Ad Hoc Networks, Vol.24, No.2, pp.274-289, 2006
Y. Liu and K. Han, “Behavior-based Attack Detection and Reporting in Wireless Sensor Networks,” Proceedings of the third International Symposiums on Electronic Commerce and Security, pp. 209-212, 2010
K. Chong, “An Improved Algorithm using Shortest Path Tree for Behavior-based Attack Detection and Reporting Problem in Wireless Sensor Networks,” Journal of KIISE : Information Networking, vol. 39, no. 4, pp.365-370, August 2012
K. Chong, “Analysis of the Connectivity of Monitoring Nodes annd the Coverage of Normal Nodes for Behavior-based Attack Detection in Wireless Sensor Networks,” Journal of KSCI, vol. 18, no.12, pp. 27-34, 2013
D. Subhadrabandhu, S. Sarkar, and F. Anjum,“A framework for misuse detection in adhoc networks-part I,” IEEE Journal on Selected Areas in Communications, Special Issue on Security in Wireless Ad Hoc Networks, Vol.24, No.2, pp.274-289, 2006
Y. Liu and K. Han, “Behavior-based Attack Detection and Reporting in Wireless Sensor Networks,” Proceedings of the third International Symposiums on Electronic Commerce and Security, pp. 209-212, 2010
K. Chong, “An Improved Algorithm using Shortest Path Tree for Behavior-based Attack Detection and Reporting Problem in Wireless Sensor Networks,” Journal of KIISE : Information Networking, vol. 39, no. 4, pp.365-370, August 2012
K. Chong, “Analysis of the Connectivity of Monitoring Nodes annd the Coverage of Normal Nodes for Behavior-based Attack Detection in Wireless Sensor Networks,” Journal of KSCI, vol. 18, no.12, pp. 27-34, 2013
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UCI(KEPA) : I410-ECN-0101-2016-325-002436832