Abstract

With the recent development of fourth industrial technology, the need for a broadband short-range wireless communication system to realize an ultraconnected, ultra-low latency, and ultra-realistic intelligent information society has emerged. Among the next-generation communication network technologies that can fulfill the technical demands, visible light communication (VLC) is a promising technology that can use illuminated light as a communication light source, which is convenient and environmentally friendly and has high energy and frequency efficiency. However, although VLC has a high level of security owing to the straightness and transparency of visible light, if some of the VLC nodes in a dense mesh network environment are hacked by external attacks, there can be critical performance degradation by jamming attacks. Although several studies have suggested the possibility of VLC jamming attacks, only a few have studied how to effectively detect and respond to these attacks. This study proposes a method to collaboratively detect and respond to jamming attacks in smart LED-based VLC systems. According to the experimental results of this study, the proposed cooperative method showed 91% attack detection accuracy and 1.82 times better than the k-random method. The proposed method showed a minimum detection rate of 84% even in an obstacle-rich environment, proving outstanding attack detection performance 1.68 times better than the k-random method.

Highlights

  • Visible light communication (VLC) uses a wider frequency band than radio frequency (RF), enabling rapid transmission of vast amounts of data and solving RF spectrum crunch [1]

  • The broadcasting and superposition features of Light-emitting diodes (LEDs) in LEDbased VLC systems are vulnerable to jamming attacks

  • We propose a detection method that uses the cooperation between LEDs to effectively detect jamming attacks on a VLC system

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Summary

INTRODUCTION

Visible light communication (VLC) uses a wider frequency band than radio frequency (RF), enabling rapid transmission of vast amounts of data and solving RF spectrum crunch [1]. Users can remotely control the power and spectrum of the light sources of smart LEDs to improve energy efficiency, convenience, and security. It can be manipulated as a jammer that infringes on the VOLUME XX, 2017. This study proposes a jamming attack detection method for a VLC system and a security method capable of responding thereto. A method of detecting and responding to jamming attacks was proposed through a cooperative communication performance comparison between adjacent LEDs. As the cooperative detection method use the performance degradation pattern, it can be extended and applied to other types of jammer scenario. A jamming attack system was modeled in a smart LED-

RELATED WORKS
Methods
ATTACK DETECTION AND RESPONSE SYSTEM
SIMULATION ENVIRONMENT
EVALUATION RESULTS
Findings
CONCLUSION
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