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Turning Legacy IR Devices into Smart IoT Devices

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Wireless Algorithms, Systems, and Applications (WASA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10874))

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Abstract

In this paper, we introduce a low-cost setup to convert an infrared (IR) controllable device to a smart IoT device. We design and implement a circuit board containing an IR sensor and multiple IR LEDs in parallel that transmit up to around seventeen meters. The board has an interface that can be connected to a Raspberry Pi and other similar devices. Our IR signal learning tool can record IR signals of an IR remote while our IR replay tool can replay the recorded signals to control the corresponding IR device. Therefore, a smartphone can be used to remotely control IR devices through an MQTT broker on a cloud server since the Raspberry Pi can be connected to the cloud. We also introduce the security implications of infrared communication using our setup and demonstrate attack scenarios. For example, a drone armed with our device can remotely turn off a TV - https://youtu.be/rPbzPbWrbf8 or http://v.youku.com/v_show/id_XMzQ0Njc5MzM3Ng.

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References

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Acknowledgments

This work was supported in part by US NSF grants 1461060, 1642124, and 1547428, by National Science Foundation of China under grants 61502100 and 61532013, by Jiangsu Provincial Natural Science Foundation of China under Grant BK20150637, by Ant Financial Research Fund. Any opinions, findings, conclusions, and recommendations in this paper are those of the authors and do not necessarily reflect the views of the funding agencies.

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Correspondence to Chao Gao .

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Sano, C., Gao, C., Li, Z., Ling, Z., Fu, X. (2018). Turning Legacy IR Devices into Smart IoT Devices. In: Chellappan, S., Cheng, W., Li, W. (eds) Wireless Algorithms, Systems, and Applications. WASA 2018. Lecture Notes in Computer Science(), vol 10874. Springer, Cham. https://doi.org/10.1007/978-3-319-94268-1_34

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  • DOI: https://doi.org/10.1007/978-3-319-94268-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94267-4

  • Online ISBN: 978-3-319-94268-1

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