A reliable spectrum sensing method in the presence of malicious sensors in distributed cognitive radio network

Ghaznavi, Mahsa; Jamshidi, Ali

doi:10.1109/jsen.2014.2366642

Cited by 22 publications

(9 citation statements)

References 23 publications

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“…In Fig. 8, the miss detection probability versus the number of attackers is plotted in our model and the model in [16, 17] for N = 30,

P_{fa} = 0.05

. From this figure, our method has better performance compared with the other two works.…”

Section: Simulation Results and Comparisonsmentioning

confidence: 90%

“… Comparing the miss detection probability versus the number of attackers in our model and the model proposed in [ 16 , 17 ] for N = 15,

P_{f a} = 0.05

and

r_{t} = 250 m

…”

Section: Simulation Results and Comparisonsmentioning

confidence: 99%

“…By using the distance information, it will be determined whether the ongoing transmission is performed by the PU or the attackers. The model proposed in [17] is based on dividing the CR users into some clusters. By using the information of the users of each cluster, the primary transmit power and the distance between each cluster and the PU are estimated for each cluster.…”

Section: Introductionmentioning

confidence: 99%

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Defence against primary user emulation attack using statistical properties of the cognitive radio received power

Ghaznavi¹,

Jamshidi²

2017

IET Communications

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“…In Fig. 8, the miss detection probability versus the number of attackers is plotted in our model and the model in [16, 17] for N = 30,

P_{fa} = 0.05

. From this figure, our method has better performance compared with the other two works.…”

Section: Simulation Results and Comparisonsmentioning

confidence: 90%

“… Comparing the miss detection probability versus the number of attackers in our model and the model proposed in [ 16 , 17 ] for N = 15,

P_{f a} = 0.05

and

r_{t} = 250 m

…”

Section: Simulation Results and Comparisonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Defence against primary user emulation attack using statistical properties of the cognitive radio received power

Ghaznavi¹,

Jamshidi²

2017

IET Communications

Self Cite

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“…Followed by spectrum sensing, sensing report transmission was carried out within the cluster (or) group [36]. In each group, sensing reports were aggregated by CH and transmitted to FC for global fusion.…”

Section: Problem Definitionmentioning

confidence: 99%

Neuro‐fuzzy based two‐stage spectrum allocation scheme to ensure spectrum efficiency in CRN–CSS assisted by spectrum agent

Raman

Venkatesan

2019

IET Circuits, Devices & Systems

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Cognitive radio network (CRN) is a promising technology to solve increasing spectrum scarcity problems in recent times. This study resolves the problem of cooperative spectrum sensing (CSS) and spectrum allocation in CRN-CSS in order to improve spectrum efficiency. A two-stage spectrum allocation scheme is initiated by grouping secondary users (SUs) with the knowledge of one-hop neighbor approach, which leads to minimised grouping time. These grouped SUs perform spectrum sensing in cooperative manner. Optimal channel assignment (OCA) process assigns channels to each SU in a group in a dynamic manner. Upon the assigned channel, SU performs spectrum sensing with the aid of the enhanced threshold energy detection (ETED) method. Finally, the available spectrum is allocated to SUs by a novel two-stage allocation approach. In this approach, SUs, which provide accurate spectrum sensing result, are given high priority for spectrum allocation. These SUs are detected through global decision making at the fusion centre (FC). A novel mining tree scheme with a spectrum agent is adopted for decision making at the FC. The neuro-fuzzy based spectrum allocation scheme in two-stage allocation supports effective spectrum allocation. An extensive experimental result exhibits promising improvements than in the previous approaches.

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“…However, the detection performance is seriously affected by ambient noise, which can easily lead to detection errors and interference to PUs. To ensure the coexistence of the cognitive radio network and the primary network, the absolute priority of the PUs to access the licensed channel must be guaranteed [4]. If the accuracy of spectrum detection is not high, it will cause serious interference to the main network users, which will limit the development and application of cognitive radio technology.…”

mentioning

confidence: 99%

Dynamic dual threshold cooperative spectrum sensing for cognitive radio under noise power uncertainty

Wan

Ding

Xiong

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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The rapid development of wireless communications has brought endless new types of services or applications for human beings. The emergence of many kinds of communication equipments makes the public frequency band more and more crowded [1]. At present, most of the wireless communication systems employ fixed spectrum allocation mechanism. Only authorized users can be allowed to access the corresponding authorized spectrum resources, which will lead to inefficient usage of the licensed spectrum. From the report issued by International Telecommunication Union (ITU), there are still plenty of free spectrum resources within certain authorized bands at specific temporal and spatial scenarios. In cognitive radio (CR) system, by dynamically adjusting transmission power, carrier frequency, modulation and other parameters, SUs can utilize the spectrum holes as well as avoid interference with primary users (PUs). By applying cognitive radio technology, the SUs can fully access free authorized bands and apply suitable

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A reliable spectrum sensing method in the presence of malicious sensors in distributed cognitive radio network

Cited by 22 publications

References 23 publications

Defence against primary user emulation attack using statistical properties of the cognitive radio received power

Defence against primary user emulation attack using statistical properties of the cognitive radio received power

Neuro‐fuzzy based two‐stage spectrum allocation scheme to ensure spectrum efficiency in CRN–CSS assisted by spectrum agent

Dynamic dual threshold cooperative spectrum sensing for cognitive radio under noise power uncertainty

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