http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Aso Mohammad Darwesh (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
A Precise Algorithm for Detecting Malicious Sybil Nodes in Mobile Wireless Sensor Networks
Mojtaba Jamshidi,Aso Mohammad Darwesh,Augustyn Lorenc,Milad Ranjbari,Mohammad Reza Meybodi 대한전자공학회 2018 IEIE Transactions on Smart Processing & Computing Vol.7 No.6
A Sybil attack, where a malicious node creates multiple fake or captured identities, is one of the most well-known attacks against wireless sensor networks (WSNs). This attack can leave devastating effects on operational and routing protocols, such as voting, data aggregation, resource allocation, and misbehavior detection. In this paper, a simple and precise algorithm for detecting Sybil attacks in mobile WSNs is proposed. Considering the rapid growth of Internet of Things (IoTs) devices and WSNs’ popularity, the threat from this attack is serious. The main underlying idea of the proposed algorithm is to use neighbors’ information and observer nodes to detect Sybil nodes during the network lifetime. In the proposed algorithm, some observer nodes first walk the network and record necessary information about other nodes. Each observer node then uses this collected information to detect Sybil nodes. The proposed algorithm is compared with other algorithms according to criteria including memory, communication, and computation overhead. Also, the proposed algorithm is implemented with the J-SIM simulator, and its performance is compared in a series of experiments with other algorithms using the criteria of true- and falsedetection rates. The simulation results indicate that the proposed algorithm can detect 100% of the Sybil nodes, so its false-detection rate is 0%, regarding the study assumptions.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
