Cognitive Radio (CR) networks enable dynamic spectrum access and can significantly improve spectral efficiency. Cooperative Spectrum Sensing (CSS) exploits the spatial diversity between CR users to increase sensing accuracy. However, in a realistic scenario, the trustworthy of CSS is vulnerable to Spectrum Sensing Data Falsification (SSDF) attack. In an SSDF attack, some malicious CR users deli...

In cognitive radio networks, spectrum sensing data falsification (SSDF) attack is a crucial factor deteriorating the detection performance of cooperative spectrum sensing. In this paper, we propose and analyze a novel probabilistic soft SSDF attack model, which goes beyond the existing models for its generalization. Under this generalized SSDF attack model, we firstly obtain closed form express...

Cooperative spectrum sensing (CSS) is considered as a powerful approach to improve the utilization of scarce spectrum resources. However, if CSS assumes that all secondary users (SU) are honest, it may offer opportunities for attackers to conduct a spectrum sensing data falsification (SSDF) attack. To suppress such a threat, recent efforts have been made to develop trust mechanisms. Currently, ...

Cognitive radio (CR) network is an excellent solution to the spectrum scarcity problem. Cooperative spectrum sensing (CSS) has been widely used to precisely detect of primary user (PU) signals. The trustworthiness of the CSS is vulnerable to spectrum sensing data falsification (SSDF) attack. In an SSDF attack, some malicious users intentionally report wrong sensing results to cheat the fusion c...

Cognitive radio is a promising technology to improve the utilization of wireless spectrum resources. A serious threat to cognitive radio networks (CRN) which sense the spectrum in a cooperative manner is the transmission of false spectrum sensing data by malicious secondary nodes, namely spectrum sensing data falsification (SSDF) attacks. SSDF attackers start to attack the network in the case o...

Collaborative spectrum sensing (CSS) was envisioned to improve the reliability of spectrum sensing in centralized cognitive radio networks (CRNs). However, secondary users (SUs)’ changeable environment and ease of compromise make CSS vulnerable to security threats, which further mislead the global decision making and degrade the overall performance. A popular attack in CSS is the called spectru...

In this paper, we consider reliable cooperative spectrum sensing in cognitive networks under the Spectrum Sensing Data Falsification (SSDF) attacks. One effective method to mitigate the SSDF attacks is the q-out-of-m fusion scheme, where the final decision is based on q sensing reports from m polled users. In this paper, first, we derive the asymptotic behavior of the fusion scheme as the netwo...

Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum. However, the security aspects of cognitive radio networks have garnered little attention. In this paper, we discuss a threat to cognitive radio networks, which we call the spectrum sensing data falsification (SSDF) attack. Specifically, malicious users can always send presence and absence of inf...

Cognitive-radio (CR) technology is to solve the spectrum scarcity problem, make accessible supplementary spectrum bands required for the data transmission in mobile ad hoc networks (MANET) and provide an appropriate level of security for CR networks received far less attention than other areas regarding to common key management schemes for MANET as well. Key management and authentication are tw...