Cooperative Jamming for Physical Layer Security Enhancement in Internet of Things

Hu, Lin; Wen, Hong; Wu, Bin; Pan, Fei; Liao, Runfa; Song, Huanhuan; Tang, Jie; Wang, Xiumin

doi:10.1109/jiot.2017.2778185

Cited by 199 publications

(120 citation statements)

References 35 publications

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“…Security vulnerabilities of BCoT can be remedied via either the security enhancement of IoT systems or loophole repairing of blockchain. For example, cooperative jamming scheme [112] was explored to improve the security of IoT systems while no extra hardware is required for existing IoT nodes. Meanwhile, [113] exploits key generations based on reciprocity and randomness of wireless channels in Long Range (LoRa) IoT network.…”

Section: B Security Vulnerabilitymentioning

confidence: 99%

Blockchain for Internet of Things: A Survey

Dai

Zheng

Zhang

2019

IEEE Internet Things J.

912

397

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Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with data-driven decisionmaking. However, intrinsic features of IoT result in a number of challenges such as decentralization, poor interoperability, privacy and security vulnerabilities. Blockchain technology brings the opportunities in addressing the challenges of IoT. In this paper, we investigate the integration of blockchain technology with IoT. We name such synthesis of blockchain and IoT as Blockchain of Things (BCoT). This paper presents an in-depth survey of BCoT and discusses the insights of this new paradigm. In particular, we first briefly introduce IoT and discuss the challenges of IoT. Then we give an overview of blockchain technology. We next concentrate on introducing the convergence of blockchain and IoT and presenting the proposal of BCoT architecture. We further discuss the issues about using blockchain for 5G beyond in IoT as well as industrial applications of BCoT. Finally, we outline the open research directions in this promising area.

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Section: B Security Vulnerabilitymentioning

confidence: 99%

Blockchain for Internet of Things: A Survey

Dai

Zheng

Zhang

2019

IEEE Internet Things J.

912

397

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“…where x = e µ (n) 1 (µ 1 −µ (n) 1 +1) is the FOTE of e µ1 around the point µ (n) 1 . According to the ER method, (34) is transformed into the following convex form…”

Section: A Multi-antennas Configurationmentioning

confidence: 99%

“…In the past, conventional encryption techniques have been applied to prevent eavesdroppers from recovering the secret messages [8], [9]. However, such encryption-based techniques have inherent difficulties and vulnerabilities dealing with secret key management [1]. Fortunately, physical layer security (PLS) has shown a great deal of potential to more accurately distinguish the signals belonging to the legitimate receiver or the eavesdropper [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Secure Beamforming Design in Relay-Assisted Internet of Things

Huang

Hao

et al. 2019

IEEE Internet Things J.

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A secure downlink transmission system which is exposed to multiple eavesdroppers and is appropriate for Internet of Things (IoT) applications is considered. A worst case scenario is assumed, in the sense that, in order to enhance their interception ability all eavesdroppers are located close to each other, near the controller and collude to form joint receive beamforming. For such a system, a novel cooperative non-orthogonal multiple access (NOMA) secure transmission scheme for which an IoT device with a stronger channel condition acts as an energy harvesting relay in order to assist a second IoT device operating under weaker channel conditions, is proposed and its performance is analyzed and evaluated. A secrecy sum rate (SSR) maximization problem is formulated and solved under three constraints: i) Transmit power; ii) Successive interference cancellation; iii) Quality of Service. By considering both passive and active eavesdroppers scenarios, two optimization schemes are proposed to improve the overall system SSR. On the one hand, for the passive eavesdropper scenario, an artificial noise-aided secure beamforming scheme is proposed. Since this optimization problem is nonconvex, instead of using traditional but highly complex, bruteforce two-dimensional search, it is conveniently transformed into a convex one by using an epigraph reformulation. On the other hand, for the active multi-antennas eavesdroppers' scenario, the orthogonal-projection-based beamforming scheme is considered, and by employing the successive convex approximation method, a suboptimal solution is proposed. Furthermore, since for single antenna transmission the orthogonal-projection-based scheme may not be applicable a simple power control scheme is proposed. Various performance evaluation results obtained by means of computer simulations have verified that the proposed schemes outperform other benchmark schemes in terms of SSR performance.Index Terms-Internet of Things (IoT), secure beamforming, artificial noise (AN), orthogonal projection, secrecy sum rate (SSR).

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“…Besides privacy concerns, jamming and eavesdropping -the two main attacks at the physical layer [13], [14] -are still an issue for IoT systems. This work mainly focuses on securityaware edge computing under jamming attacks that will block the communication link between IoT devices and edge servers; see [15] for schemes dealing with eavesdropping.…”

Section: Introductionmentioning

confidence: 99%

Secure Mobile Edge Computing in IoT via Collaborative Online Learning

Chen

Giannakis

2019

IEEE Trans. Signal Process.

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To accommodate heterogeneous tasks in Internet of Things (IoT), a new communication and computing paradigm termed mobile edge computing emerges that extends computing services from the cloud to edge, but at the same time exposes new challenges on security. The present paper studies online securityaware edge computing under jamming attacks. Leveraging online learning tools, novel algorithms abbreviated as SAVE-S and SAVE-A are developed to cope with the stochastic and adversarial forms of jamming, respectively. Without utilizing extra resources such as spectrum and transmission power to evade jamming attacks, SAVE-S and SAVE-A can select the most reliable server to offload computing tasks with minimal privacy and security concerns. It is analytically established that without any prior information on future jamming and server security risks, the proposed schemes can achieve O √ T regret. Information sharing among devices can accelerate the security-aware computing tasks. Incorporating the information shared by other devices, SAVE-S and SAVE-A offer impressive improvements on the sublinear regret, which is guaranteed by what is termed "value of cooperation." Effectiveness of the proposed schemes is tested on both synthetic and real datasets.

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Cooperative Jamming for Physical Layer Security Enhancement in Internet of Things

Cited by 199 publications

References 35 publications

Blockchain for Internet of Things: A Survey

Blockchain for Internet of Things: A Survey

Secure Beamforming Design in Relay-Assisted Internet of Things

Secure Mobile Edge Computing in IoT via Collaborative Online Learning

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