分布式协作频谱感知的信誉模型

doi:10.13190/j.jbupt.2015.04.012

北京邮电大学学报 ›› 2015, Vol. 38 ›› Issue (4): 55-59.doi: 10.13190/j.jbupt.2015.04.012

分布式协作频谱感知的信誉模型

许力, 黄毅杰, 林晖

1. 福建师范大学数学与计算机科学学院, 福州 350117;
2. 福建师范大学福建省网络安全与密码技术重点实验室, 福州 350117

收稿日期:2014-08-09 出版日期:2015-08-28 发布日期:2015-06-26
作者简介:许力(1970-),男,教授,博士生导师;黄毅杰(1990-),男,研究生,E-mail:y.j.huang@foxmail.com.
基金资助:
国家自然科学基金项目(61363068,61405255);福建省自然科学基金项目(2013J01222,2014J01223);福州市科技局项目(2013-G-84)

Reputation Model for Distributed Collaborate Spectrum Sensing

XU Li, HUANG Yi-jie, LIN Hui

1. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350117, China;
2. Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China

Received:2014-08-09 Online:2015-08-28 Published:2015-06-26

摘要/Abstract

摘要：

协作感知技术能大大提高认知无线电网络中的频谱感知效果,但也会产生一些安全隐患,如频谱感知数据伪造攻击.针对单个恶意次用户发起的连续性频谱感知数据伪造攻击和若干个恶意次用户发起的非连续性频谱感知数据伪造攻击,设计并实现了一种分布式协作频谱感知的信誉模型.仿真实验表明,该模型能有效地识别恶意次用户和抵御频谱感知数据伪造攻击.同时,该模型还具有较小的虚警率、丢失率和较好的容错能力.

关键词: 认知无线电网络, 分布式协作, 频谱感知, 频谱感知数据伪造, 信誉模型

Abstract:

Collaborative spectrum sensing can greatly improve the effect of the spectrum sensing in cognitive radio network. However, it also brings some security risks such as spectrum sensing data falsification (SSDF) attack. To against the successional and discontinuous SSDF attacks launched by the single malicious secondary user and some malicious secondary users, respectively, a reputation model for distributed collaborate spectrum sensing was proposed. Simulation shows that the proposed model can effectively identify the malicious secondary users and resist the SSDF attack. Moreover, it also has lower probability of false alarm detection, lower probability of loss detection, and better fault-tolerant ability.

Key words: cognitive radio network, distributed collaborative, spectrum sensing, spectrum sensing data falsification, reputation model

中图分类号:

TN929.53

许力, 黄毅杰, 林晖. 分布式协作频谱感知的信誉模型[J]. 北京邮电大学学报, 2015, 38(4): 55-59.

XU Li, HUANG Yi-jie, LIN Hui. Reputation Model for Distributed Collaborate Spectrum Sensing[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(4): 55-59.

参考文献

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分布式协作频谱感知的信誉模型

Reputation Model for Distributed Collaborate Spectrum Sensing

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