Peeves: Physical Event Verification in Smart Homes

Name: Peeves: Physical Event Verification in Smart Homes
Published: 2019-01-01T00:00:00Z
License: https://opendatacommons.org/licenses/by/1-0/index.html

Birnbach, S; Eberz, S

Documentation:: This is the dataset collected for the 2019 ACM CCS paper "Peeves: Physical Event Verification in Smart Homes". We provide a .zip file with the collected sensor and event data and a readme file that describes the data format and structure. If you use any of the data, please cite the original paper as follows: @inproceedings{sbirnbach2019, title={Peeves: Physical Event Verification in Smart Homes}, author={Birnbach, Simon and Eberz, Simon and Martinovic, Ivan}, booktitle={Proceedings of the 2019 ACM Conference on Computer and Communications Security}, year={2019}, organization={ACM} }

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APA Style

Birnbach, S., & Eberz, S. (2019). Peeves: Physical Event Verification in Smart Homes. University of Oxford.

MLA Style

Birnbach, S, and S Eberz. Peeves: Physical Event Verification in Smart Homes. University of Oxford, 2019.

Chicago Style

Birnbach, S, and S Eberz. 2019. Peeves: Physical Event Verification in Smart Homes. University of Oxford.
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Files:: dataset.zip

(zip, 48.4GB, Terms of use)

readme.pdf

(Preview, pdf, 170.5KB, Terms of use)

Authors/Creators

+ Birnbach, S More by this author/creator

Department:: Computer Science
Role:: Creator

+ Eberz, S More by this author/creator

Department:: Computer Science
Role:: Creator

Contributors

+ Martinovic, I

Department:: Computer Science
Role:: Contributor

+ Engineering and Physical Sciences Research Council More from this funder

Funding agency for:: Birnbach, S

Publisher:: University of Oxford
Publication date:: 2019
DOI:: 10.5287/bodleian:mv22Jk2Xj

UUID:: uuid:75726ff7-fee1-420d-8a17-de9572324c7d
Deposit date:: 2019-08-19
ARK identifier:: ark:/29072/ora_75726ff7fee1420d8a17de9572324c7d

Related item:: Peeves: Physical Event Verification in Smart Homes
Description:: With the rising availability of smart devices (e.g., smart thermostats, lights, locks, etc.), they are increasingly combined into “smart homes”. A key component of smart homes are event sensors that report physical events (such as doors opening or the light turning on) which can be triggered automatically by the system or manually by the user. However, data from these sensors are not always trustworthy. Both faults in the event sensors and involvement of active attackers can lead to reporting of events that did not physically happen (event spoofing). This is particularly critical, as smart homes can trigger event chains (e.g., turning the radiator off when a window is opened) without involvement of the user. The goal of this paper is to verify physical events using data from an ensemble of sensors (such as accelerometers or air pressure sensors) that are commonly found in smart homes. This approach both protects against event sensor faults and sophisticated attackers. In order to validate our system’s performance, we set up a “smart home” in an office environment. We recognize 22 event types using 48 sensors over the course of two weeks. Using data from the physical sensors, we verify the event stream supplied by the event sensors. We consider two threat models: a zero-effort attacker who spoofs events at arbitrary times and an opportunistic attacker who has access to a live stream of sensor data to better time their attack. We achieve perfect classification for 9 out of 22 events and achieve a 0% false alarm rate at a detection rate exceeding 99.9% for 15 events. We also show that even a strong opportunistic attacker is inherently limited to spoofing few select events and that doing so involves lengthy waiting periods.

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Licence:: Open Data Commons Attribution License (ODC-By)

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