| 摘要: |
| 比较了认知无线电网络中几种典型的协作感知方案在篡改感知数据(SSDF)攻击条件下的感知
性能，并提出了一种增强型加权序贯检
测（EWSPRT）协作方案。在该方案中，各次用户首先通过能量检测得到2 bit本地决策
，然后
收集其它协作用户的感知结果进行决策融合和最终判决，并依据历史观测信息动态更新各协
作用户的融合权重；利用改进的信任度更新算法能使恶意用户的融合权重更快地降低，从而
有效地减少SSDF攻击对协作过程的影响。Monte-Carlo仿真结果表明，与传统方案相比，EWS
PRT方案能够更有效地抵抗SSDF攻击。 |
| 关键词: 认知无线电 协作频谱感知 篡改感知数据攻击 加权序贯检测 |
| DOI： |
|
| 基金项目:国家高技术研究发展计划(863计划)项目(2009AAJ208, 2009AAJ116) |
|
| Robust EWSPRT Cooperative Spectrum Sensing Scheme against SSDF Attacks |
| LIU Quan,GUO Yun-wei,GAO Jun,LIU Si-yang |
| (Department of Communication Engineering,Naval University of Engineering,Wuhan
430033,China) |
| Abstract: |
| This paper compares the sensing performance of several typical cooperative spect
rum sensing(CSS) strategies under spectrum sensing data falsification(SSDF) atta
ck in cognitive radio networks, and presents a new CSS scheme na
med as enhanced weighted sequential probability ratio test(EWSPRT). In the propo
sed scheme, each secondary user(SU) firstly makes a two-bit local decision via e
nergy detection, then collects the decisions from nearby cooperative users, and
finally obtains a decision with some decision fusion rule. The modified rule for
updating the credit level can reduce the fusion weight of those potential attac
kers as early as possible, which effectively decreases the negative impacts of S
SDF attacks. As represented by the Monte-Carlo simulation results, the EWSPRT sc
heme has better robustness against SSDF attacks than the traditional scheme
s. |
| Key words: cognitive radio cooperative spectrum sensing spectrum sensing data fa
lsification attack weighted sequential probability ratio test |
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