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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kalamkar, Sanket S. Singh, Praveen Kumar Banerjee, Adrish |
| Copyright Year | 2014 |
| Abstract | 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 malicious users by masking. In practice, the number of malicious users is unknown. Thus, it is necessary to estimate the number of malicious users, which is found using clustering and largest gap method. However, we show using Monte Carlo simulations that, these methods fail to estimate the exact number of malicious users when they cooperate. To overcome this, we propose a modified largest gap method. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 286652 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479944828 |
| DOI | 10.1109/VTCSpring.2014.7022848 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-18 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Cascading style sheets Signal to noise ratio Bidirectional control Cognitive radio Probability Robustness |
| Content Type | Text |
| Resource Type | Article |
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