Name
Abstract | ||
|---|---|---|
Modern Internet-enabled smart lights promise energy efficiency and many additional capabilities over traditional lamps. However, these connected lights create a new attack surface, which can be maliciously used to violate usersu0027 privacy and security. In this paper, we design and evaluate novel attacks that take advantage of light emitted by modern smart bulbs in order to infer usersu0027 private data and preferences. The first two attacks are designed to infer usersu0027 audio and video playback by a systematic observation and analysis of the multimedia-visualization functionality of smart light bulbs. The third attack utilizes the infrared capabilities of such smart light bulbs to create a covert-channel, which can be used as a gateway to exfiltrate useru0027s private data out of their secured home or office network. A comprehensive evaluation of these attacks in various real-life settings confirms their feasibility and affirms the need for new privacy protection mechanisms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3351256 | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies |
Keywords | Field | DocType |
Data Exfiltration, Multimedia, Privacy, Security, Smart Bulb, Smart Light | Attack surface,Information leakage,Smart lighting,Computer security,Efficient energy use,Computer science,Default gateway | Journal |
Volume | Issue | Citations |
abs/1808.07814 | 3 | 3 |
PageRank | References | Authors |
0.38 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ananda Maiti | 1 | 43 | 9.63 |
| Murtuza Jadliwala | 2 | 266 | 25.26 |