원문정보
Enhancing Method to make Cluster for Filtering-based Sensor Networks
초록
영어
Wireless sensor network (WSN) is expected to be used in many applications. However, sensor nodes still have some secure problems to use them in the real applications. They are typically deployed on open, wide, and unattended environments. An adversary using these features can easily compromise the deployed sensor nodes and use compromised sensor nodes to inject fabricated data to the sensor network (false data injection attack). The injected fabricated data drains much energy of them and causes a false alarm. To detect and drop the injected fabricated data, a filtering-based security method and adaptive methods are proposed. The
number of different partitions is important to make event report since they can make a correctness event report if the representative node does not receive message authentication codes made by the different partition keys. The proposed methods cannot guarantee the
detection power since they do not consider the filtering scheme. We proposed clustering method for filtering-based secure methods. Our proposed method uses fuzzy system to enhance the detection power of a cluster.
목차
I. 서론
II. 관련 연구
1. 통계적 여과 기법
2. 클러스터링
3. 동기
III. 퍼지를 이용한 클러스터링 적합도 결정 방법
1. 가정
2. 퍼지를 이용한 클러스터링 방법
3. 클러스터링 적합도를 구하기 위한 퍼지입력 매개변수
4. 퍼지 매개변수 정의와 퍼지 룰
IV. 결론 및 향후 과제
참고문헌
