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USENIX Security2023Top-tier venue

HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs

Kong Huang, Yutong Zhou, Ke Zhang, Jiacen Xu, Jiongyi Chen, Di Tang, Kehuan Zhang

2023Year
2Top-tier citations

Abstract

Infrared (IR) remote control is a widely used technology at home due to its simplicity and low cost. Most considered it to be "secure" because of the line-of-sight usage within the home. In this paper, we revisit the security of IR remote control schemes and examine their security assumptions under the settings of internet-connected smart homes. We focus on two specific questions: (1) whether IR signals could be sniffed by an IoT device; and ( 2 ) what information could be leaked out through the sniffed IR control signals. To answer these questions, we design a sniff module using a commercial-off-the-shelf IR receiver on a Raspberry Pi and show that the Infrared (IR) signal emanating from the remote control of a Smart TV can be captured by one of the nearby IoT devices, for example, a smart air-conditioner, even the signal is not aimed at the air-conditioner. The IR signal range and receiving angle are larger than most have thought. We also developed algorithms to extract semantic information from the sniffed IR control signals, and evaluated with realworld applications. The results showed that lots of sensitive information could be leaked out through the sniffed IR control signals, including account name and password, PIN code, and even payment information.

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