Name
Abstract | ||
|---|---|---|
The combination of an appified smart home platform and third-party apps have enabled developers to contribute their novel ideas to bring more convenience to their users. However, this also brings the potential of privacy leakage. If a third-party app is permitted to monitor a user day and night, then it will learn the behavior pattern of this user before long. In this paper, we exploited how IFTTT monitors the daily life of a user in several ways that are hardly noticeable. We propose the “Specific-fuzzification” to protect the privacy of a user in two steps: filter the unnecessary events to the IFTTT, then fuzz the value of the events that must be uploaded. We evaluated the “Specific-fuzzification” on event records of seven users, the result showed comparing the original IFTTT, the modified IFTTT patched with “Specific-fuzzification” only gained rare events and thus could no longer recognize any behavior patterns of a user. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/PCCC.2018.8711216 | 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC) |
Keywords | DocType | Volume |
smart home,privacy leakage,SmartThings,IFTTT | Journal | abs/1902.03168 |
ISSN | ISBN | Citations |
1097-2641 | 978-1-5386-6809-2 | 0 |
PageRank | References | Authors |
0.34 | 25 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rixin Xu | 1 | 13 | 2.93 |
| Zeng Qiang | 2 | 34 | 10.73 |
| Liehuang Zhu | 3 | 638 | 96.00 |
| Haotian Chi | 4 | 49 | 6.05 |
| X. Du | 5 | 2320 | 241.73 |