Secrecy-oriented partner selection based on social trust in device-to-device communications

Abstract

Device-to-device (D2D) communications recently have attracted broad attention owing to its potential ability to improve spectrum and energy efficiency within the existing cellular infrastructure. Lacking sophisticated control, D2D user equipments (DUEs) themselves are not powerful enough to resist eavesdropping or fight against security attacks. This work investigates selection of jamming partners for D2D users to thwart reception by social outcasts in D2D overlay, by exploiting social relationship to improve secrecy rate. We aim to maximize the secrecy rate of worst case, eavesdropping by any outcast, through selecting jammer node while allocating transmit power for both source and jammer. We present a heuristic genetic algorithm based solution to evaluate the problem directly. In addition, we also propose approximated optimization solutions by considering power allocation of upper and lower bounds to simplify the problem, by leveraging the fractional programming (GFP) oriented Dinkelbach-type algorithm. Numerical resultsshow that the proposed schemes can achieve better performance through finding an appropriate partner.Index Terms-D2D communications, cooperative jamming, social outcast, secrecy rate, power allocation.

A cross-layer cooperative jamming scheme for social internet of things

“…Several researchers introduced node attributes to the cooperative jamming design and analyzed the impact of attributes on security performance of D2D communication. Wang et al [34] evaluated the trust degree of potential jammers and designed an algorithm to select a jammer and allocate transmission power to achieve secrecy-oriented D2D cooperation. Similarly, Wen et al [35] investigated the influence of node reputation on the secrecy performance and proposed a scheme for trustworthy-friendly jammer selection in perfect and statistical CSI scenarios.…”

Jamming partner selection for maximising the worst D2D secrecy rate based on social trust

“…Furthermore, for simplification, we assume that interference from candidate jammers to the destination node can be known in advance, then the jamming interference can be suppressed at the destination. Thus, we can have where q j ∈[0,1] is the social trust index of jammers and it jointly indicates both the socially established mutual trust between them and physical link stability of the channel from jammer node to eavesdropper . Note that physical link stability can be evaluated by contact (encountering) duration and frequency for the neighbouring devices to form potential D2D links or finding friendly jammers .…”

“…where q j 2 OE0, 1 is the social trust index of jammers and it jointly indicates both the socially established mutual trust between them and physical link stability of the channel from jammer node to eavesdropper [7]. Note that physical link stability can be evaluated by contact (encountering) duration and frequency for the neighbouring devices to form potential D2D links or finding friendly jammers [21].…”

“…Exploiting social network structure into the design of D2D communications can assure D2D link stability and success rate . Furthermore, trustworthy users can be selected to act as jammer nodes and relay nodes to enhance the performance .…”

Game-Theoretic Learning Approaches for Secure D2D Communications Against Full-Duplex Active Eavesdropper

“…D2D communications are the direct communications between cellular user equipments (CUEs) in close proximity without the retransmission of the base statation (BS). Due to the open property of wireless channels and the access of D2D user equipments (DUEs), physical layer security of D2D underlaying cellular networks has drawn more and more attention in recent years [1]- [8]. In the majority of researches, DUEs were regarded as friendly jammers to improve the secrecy capacity of CUEs [1]- [5].…”