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Mitigation of Spectrum Sensing Data Falsification Attack (SSDF) in Cognitive Radio Network
https://orcid.org/http://orcid.org/0000-0003-1920-1913
The most assuring technique to the spectrum scarcity problem is cognitive radio networks (CRN). In CRNs, the individual spectrum sensing by a single cognitive radio (CR) user lessens the reliability of the network. However, as far as cooperative spectrum sensing is concerned, precisely detecting the signal of the principal user (PU) is a major Challenge. Moreover, the cooperative sensing technique is less susceptible to the spectrum sensing data falsification (SSDF) attack. Therefore, to misguide other normal CR users, a malicious user transmits the deceived sensing information in order to make an inaccurate decision of the activity of PU. Thus, to take corrective measures for accurate cooperative spectrum sensing, the identification of the SSDF security attack is very crucial. In this paper, it has been proposed to eliminate the corrupted sensing information while sensing from the malicious SSDF intruders, such that a normal CR user can identify the functioning of PU in distributed cooperative spectrum sensing environment effectively. Finally, based on the simulation results, performance in cooperative sensing has also been carried out.
Mitigation of Spectrum Sensing Data Falsification Attack (SSDF) in Cognitive Radio Network
https://orcid.org/http://orcid.org/0000-0003-1920-1913
The most assuring technique to the spectrum scarcity problem is cognitive radio networks (CRN). In CRNs, the individual spectrum sensing by a single cognitive radio (CR) user lessens the reliability of the network. However, as far as cooperative spectrum sensing is concerned, precisely detecting the signal of the principal user (PU) is a major Challenge. Moreover, the cooperative sensing technique is less susceptible to the spectrum sensing data falsification (SSDF) attack. Therefore, to misguide other normal CR users, a malicious user transmits the deceived sensing information in order to make an inaccurate decision of the activity of PU. Thus, to take corrective measures for accurate cooperative spectrum sensing, the identification of the SSDF security attack is very crucial. In this paper, it has been proposed to eliminate the corrupted sensing information while sensing from the malicious SSDF intruders, such that a normal CR user can identify the functioning of PU in distributed cooperative spectrum sensing environment effectively. Finally, based on the simulation results, performance in cooperative sensing has also been carried out.
Mitigation of Spectrum Sensing Data Falsification Attack (SSDF) in Cognitive Radio Network
https://orcid.org/http://orcid.org/0000-0003-1920-1913
The most assuring technique to the spectrum scarcity problem is cognitive radio networks (CRN). In CRNs, the individual spectrum sensing by a single cognitive radio (CR) user lessens the reliability of the network. However, as far as cooperative spectrum sensing is concerned, precisely detecting the signal of the principal user (PU) is a major Challenge. Moreover, the cooperative sensing technique is less susceptible to the spectrum sensing data falsification (SSDF) attack. Therefore, to misguide other normal CR users, a malicious user transmits the deceived sensing information in order to make an inaccurate decision of the activity of PU. Thus, to take corrective measures for accurate cooperative spectrum sensing, the identification of the SSDF security attack is very crucial. In this paper, it has been proposed to eliminate the corrupted sensing information while sensing from the malicious SSDF intruders, such that a normal CR user can identify the functioning of PU in distributed cooperative spectrum sensing environment effectively. Finally, based on the simulation results, performance in cooperative sensing has also been carried out.
Mitigation of Spectrum Sensing Data Falsification Attack (SSDF) in Cognitive Radio Network
J. Inst. Eng. India Ser. B
Banerjee, Subhasish (author) / Singh, Tinka (author) / Singh, Karam Ratan (author)
Journal of The Institution of Engineers (India): Series B ; 103 ; 1249-1257
2022-08-01
9 pages
Article (Journal)
Electronic Resource
English
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