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Block outlier detection methods, based on Tietjen- Moore (TM) and Shapiro-Wilk (SW) tests, are proposed to detect and suppress spectrum sensing data falsification (SSDF) attacks by malicious users in cooperative spectrum sensing. First, we consider basic and statistical SSDF attacks, where the malicious users attack independently. Then we propose a new SSDF attack, which involves cooperation among...
Detecting the presence of signals in noise from multiple sources is a fundamental problem in statistical signal processing. In this paper, we consider multi-antenna signal detection when the noise covariance matrix is assumed to be arbitrary and unknown. We address this problem in the context of cognitive radio, where a multiple-primary-user detector is analyzed. This detector is known as Wilks' detector...
Cooperative spectrum sensing (CSS) performance could be severely degraded due to presence of misbehaved Cognitive Radio (CR) falsifying sensing data. To identify misbehaviors and mitigate their harmful effects on CSS performance, this letter proposes a secure CSS scheme by introducing a prior probability-aided mechanism with utilization of the statistics of primary band occupancy. While performance...
Energy detection (ED) is a widely used spectrum sensing scheme for cognitive radio networks since it is very easy to implement and does not require any knowledge of the primary signal. However, ED requires accurate noise power to perform the detection and its performance is very sensitive to noise uncertainty. To overcome the limitation of ED, this paper proposes a novel spectrum sensing algorithm...
Multiuser collaboration can significantly improve the performance of spectrum sensing in cognitive radio networks. By admitting the noise power estimation error and fading/shadowing effects in practical implementation, this paper presents another look at the energy detection based cooperative spectrum sensing. The worst-case collective probability of miss detection due to the noise uncertainty is...
A robust beamformer design is proposed for a spectrum sharing CR network consisting of multiple secondary users (SUs) in the presence of multiple primary users (PUs). The proposed algorithm aims to maximize the worst case signal-to-interference-plus-noise ratio (SINR) of the SUs while limiting the interference leakage to PUs. Since it may be difficult to obtain perfect information about the channels...
In cognitive radio, it is crucial to control the interference from secondary users (SUs) to primary users (PUs). This paper studies the use of transmit beamforming in the cognitive secondary network for enhancing the performance of a SU while controlling the interference to the PUs. In particular, we propose to maximize the service probability of the SU with a number of probability constraints on...
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