OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Channel Estimation
Interference Cancellation
Stochastic Geometry
Energy Harvesting
Feedback
Bi-directional
Heterogeneous Networks
Equalization
HetNet
relay networks
FBMC
Ultra Low Power
SC-FDMA
TVWS
Duplex
Reliability
CDMA
MIMO
interference
channel capacity
in-band full-duplex system
interference suppression
5G
C-V2V
reinforcement learning
RSRP weighting
non-orthogonal multiple access (NOMA)
health care
5G mobile communication
indoor positioning
Vehicle-to-vehicle communication
estimated position overlapping
Resource sharing
Power allocation
multi-access edge computing
control overhead
hybrid
Rat-dependent positioning
NR positioning
smart factory
UFMC
Handoff
Femtocell
QAM
CoMP
power uncertainty
- Computation offloading
amplify and forward communication
Zigbee
body area networks
resource block management
frame structure
WVAN
inter user interference
GFDM
mode selection
antenna arrays
partial overlap
LTE-based V2V
resource selection
maximum likelihood method
Communication range
Number of training blocks
Vehicular communication
Uplink SCMA system
Dynamic TDD
QR Factorization
Metaheuristics
FS-NOMA
cross-link interference
user fairness
Multi-user Receiver
Mode 3
V2X
P-NOMA
dynamic HetNet
spectrum partitioning
DQN
D-TDD
CLI
massive connectivity
and 5G networks.
OTDOA
estimated position updating
distributed mode
non-orthogonal multiple access
Spatial capacity
LTE-TDD
—Device-to-device (D2D)
Location-based
overloading
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Gosan Noh, Sungmook Lim, Seokwon Lee, and Daesik Hong,"Goodness-of-Fit-based Malicious User Detection in Cooperative Spectrum Sensing", VTC 2012 Fall, Sep. 2012
[IEEE VTC]
조회 114668
Status : | Presented |
---|---|
Date : | 2012-09 |
Title : | Goodness-of-Fit-based Malicious User Detection in Cooperative Spectrum Sensing |
Authors : | Gosan Noh, Sungmook Lim, Seokwon Lee, and Daesik Hong |
Conference : | VTC 2012 Fall |
Abstract : | Cooperative spectrum sensing improves sensing accuracy in primary user detection, but can be threatened by malicious users. Malicious users may try to falsify the sensing result to indicate that the primary user exists even when there is no primary user in order to monopolize the spectrum usage, thereby depriving other users of their spectrum opportunities. To address this, we propose a malicious user detection scheme where the malicious users are identified and cut off from the cooperative sensing process. The proposed scheme exploits the Anderson-Darling (AD) goodness-of-fit technique which tests whether the empirical distribution of the sensing data from each secondary user fits the expected distribution for a malicious user. In addition, we derive false alarm and detection probabilities for when malicious users are cut off by the malicious user detection scheme. Simulation results show that the proposed goodness-of-fit-based malicious user detection significantly improves sensing performance in comparison with conventional outlier detectionbased schemes. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...er=6399208 |
Download : | http://mirinae.yonsei.ac.kr/?module=file...97e52d1a0d |
Noh, Gosan; Lim, Sungmook; Lee, Seokwon; Hong, Daesik; , "Goodness-of-Fit-Based Malicious User Detection in Cooperative Spectrum Sensing," Vehicular Technology Conference (VTC Fall), 2012 IEEE , vol., no., pp.1-5, 3-6 Sept. 2012
doi: 10.1109/VTCFall.2012.6399208
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6399208&isnumber=6398863
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