Reputation-based cooperative spectrum sensing with trusted nodes assistance

Zeng, Kun; Paweczak, P.; Čabrić, Danijela

doi:10.1109/lcomm.2010.03.092240

Cited by 173 publications

(128 citation statements)

References 7 publications

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“…In terms of sensing performance, Wang et al [20] discuss that hard-decision performs almost the same as soft-decision when cooperative users face independent fading (e.g., when the SUs are not nearby each other). Additionally, we may note that hard-decision reduces the overhead in reporting sensing results [21]. Concerning soft-decision, Clouquer et al [22] conclude that it is superior to hard-decision when faulttolerance is not required or when sensors are highly reliable and fault-free.…”

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

“…As indicated in Table 2, this approach enables the use of trust-based security schemes that may, for instance, attribute more relevance to the reports of more trustworthy SUs (e.g., through a weighted mean-based fusion scheme in which different weights are adaptively assigned to the SUs according to their reputation levels) [6,29,33,38] or ignore the sensing reports from SUs with reputation values under a defined threshold [21,34,39,40]. Globally, when a SU reports sensing data not tagged as an outlier, its reputation is increased.…”

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

“…Through this reinforcement-based approach, past reports are therefore considered for the computation of decisions. Examples of schemes following this approach may be found in the collaborative sensing solutions proposed by Wang et al [20], Wang and Chen [34], and by Zeng, Paweczak, and Cabric [21]. In the former, the nodes are classified either as honest or as malicious, with all nodes initially assumed to be honest.…”

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

“…Concerning the proposal of Wang and Chen [34], which also consists in a trustbased data fusion scheme, it targets centralized CR networks and aims at tolerating a high percentage of malicious SUs. We note that some authors consider that the soft-decision approach presents more potential to support the implementation of reputation-based security solutions [21]. We cannot also ignore the possibility of an attacker being intelligent enough in order to know the internal workings of the fusion rule.…”

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

“…An alternative approach is to assume that nodes from a given set are reliable (e.g., access points, base stations, or specific SUs) [5,21]. Such an assumption may provide an increase in the performance of collaborative sensing, for example, by initially considering only reports from reliable nodes.…”

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

See 4 more Smart Citations

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Marinho

Granjal

Monteiro

2015

EURASIP J. on Info. Security

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Currently, there are several ongoing efforts for the definition of new regulation policies, paradigms, and technologies aiming a more efficient usage of the radio spectrum. In this context, cognitive radio (CR) emerges as one of the most promising players by enabling the dynamic access to vacant frequency bands on a non-interference basis. However, the intrinsic characteristic of CR opens new ways for attackers, namely in the context of the effective detection of incumbent or primary users (PUs), the most fundamental and challenging requirement for the successful operation of CR networks. In this article, we provide a global and integrated vision of the main threats affecting CR environments in the context of the detection of primary users, with a particular focus on spectrum sensing data falsification and primary user emulation attacks. We also address solutions and research challenges still required to address such threats. Our discussion aims at being complete and self-contained, while also targeting readers with no specific background on this important topic of CR environments. It is, as far as our knowledge goes, the first work providing a global and clear vision of security threats and countermeasures in the context of primary user detection in CR.

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Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

Section: Deployment Of Dedicated Trusty Sensorsmentioning

confidence: 99%

See 3 more Smart Citations

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Marinho

Granjal

Monteiro

2015

EURASIP J. on Info. Security

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Secure routing and resource allocation based on game theory in cooperative cognitive radio networks

Fang

Xiao

2015

Concurrency and Computation

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The era of big data is here now, and spectrum resources are increasingly scarce in heterogeneous network environment. The spectrum efficiency and secure transmission of big data are important issues. Cognitive radio has been proposed to address the issue of spectrum efficiency, and is a hot topic in the literatures. In multi-hop cooperative cognitive radio networks (CCRNs), secondary users need the primary users' authorization to be relays. Most existing centralized route selection schemes ignore the energy allocation, and thus are inefficient. Moreover, the incomplete of information in multi-hop network leads to many difficulties in cooperation. Inspired by the game theory, a novel strategy is proposed in this paper to defend against insider attacks based on trust. This strategy is denoted as secure routing and resource allocation based on game theory in CCRNs (SRGC). With a reputation updating process and distributed learning algorithm, the proposed strategy can find a 'best' route, which is relatively safe for each primary transmitter, and at the same time fully utilizes the spectrum and energy. Using NS2, simulations indicate that SRGC can well fit into CCRNs, improve the network performance and defend against the routing disruption attacks. Compared with other schemes, the SRGC results in a performance with better adaptability to the distributed environment. Moreover, SRGC can maximize the average throughput and minimize the data drop ratios. SECURE ROUTING AND POWER CONTROL BASED ON GAME THEORY 2959 of cooperative relaying has emerged as a powerful technique because of its ability to exploit user diversity and provide high reliability and capacity in wireless networks [5].On the other hand, with the pervasiveness of big data, touching on everything we do, our attack surface will be altered and expanded, and our risks will be magnified in ways we could not have imagined [6]. This is especially true in CCRNs. In the cooperative communication, SUs will be able to use networks' resources, but a legitimate SU may be selfish and misbehaves during cooperation when it is selected to be the relay. In order to pursue more self-benefits, a dishonest SU may not obey the cooperation rule during the transmission. In a word, without considering these security threats, the PUs may choose some untrustworthy SUs to be relays, which will cause the failure of the cooperation. Moreover, PUs in CCRNs have the priority to use the channels and the demand of relaying by SUs to reduce its own energy consumption. Besides, the relays obtain transmission opportunities from the PUs as rewards and need incentive for cooperation [7]. Hence, we formulate the interaction between PUs and SUs as a Stackelberg game.For multi-user cooperation, the issues of route selection and coordination need to be considered in CCRN [8]. When a PU wishes to send packets to its receiver, it will initiate route discovery. A transmitter may find several routes and can cache these routes in its route cache. It makes more difficult for a primary transmitter to ch...

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Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

Chen

Gan

et al. 2021

Trans Emerging Tel Tech

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Cognitive radio (CR) is regarded as a powerful technology to solve the problem of spectrum shortage and underutilization. As a key function of CR technology, cooperative spectrum sensing (CSS) allows secondary users (SUs) to detect the primary user (PU)'s signal so that they identify and opportunistically access the available spectrum. However, the openness of CSS paradigm makes cognitive radio networks (CRNs) suffer from Byzantine attack, thereby undermining the premise of CR framework. To this aim, we formulate a probabilistic hard Byzantine attack model, in which malicious users (MUs) can conduct various attack strategies, and make an in‐depth investigation on the blind scenario. On the one hand, in order to ensure the robustness of CSS, a method to evaluate the reliability of the secondary user (SU)'s sensing result based on the channel status detection is proposed and an innovative weight coefficient is considered to selectively utilize the sensing information from MUs. On the other hand, we design a sequential fusion method based on reputation value (RV) and differential mechanism, with the aim of improving the efficiency of CSS. According to above methods and mechanism, the weighted differential sequential symbol (WDS2) algorithm is designed, which integrates the weight evaluation into sequential method to make the global decision for CSS. Finally, compared to the existing various data fusion algorithms, simulation results show that the proposed WDS2 not only defends against various Byzantine attacks to secure the robustness of CSS, but also requires less samples in support of an accurate global decision to improve the efficiency of CSS.

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Reputation-based cooperative spectrum sensing with trusted nodes assistance

Cited by 173 publications

References 7 publications

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Secure routing and resource allocation based on game theory in cooperative cognitive radio networks

Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

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