摘要
协作式感知可以提升感知精度,但也可能使系统暴露于可能存在的恶意用户的危险之下,甚至会有恶意用户对网络发起拒绝服务攻击.为此给出了一种新的检测算法——恶意用户检测算法(malicious users detection algorithm,MUDA).首先,通过感知服务器对次要用户进行多种感知测试,根据接收到的被测节点的信号强度估计该节点是否为恶意节点.然后,采取主动传输策略,提高其检测精度并降低其开销.最后,将其与当前算法进行性能对比,对比结果表明MUDA在提高精度的同时将感知操作导致的吞吐量损失降低了65%.
Cooperative sensing can improve sensing accuracy,but may expose the system to the dangers of malicious users that may be present,and these malicious users may launch denial-of-service attacks against the network. In this paper,we propose a new detection algorithm known as the malicious user detection algorithm（ MUDA）. First,we conduct various sensing tests with secondary users using the sensing server,and then estimate whether or not this node is malicious based on the received signal strength of the node being tested.Then,we adopt an active transmissions strategy to improve detection accuracy and reduce the overheads. Finally,a comparison of our performance results with those of existing algorithms,demonstrates that MUDA not only achieves higher accuracy but also reduces 65% of the throughput loss caused by the sensing operation.
出处
《信息与控制》
CSCD
北大核心
2016年第1期94-100,共7页
Information and Control
基金
"十一五"全国教育技术研究规划重点课题(082411766)
关键词
感知无线电网络
协作式感知
主动传输
恶意用户
精度
吞吐量
cognitive radio network（CRN）
cooperative sensing
active transmission
malicious user
accuracy
throughput
