Name
Abstract | ||
|---|---|---|
The increasing presence of heterogeneous Internet of Things devices inside the home brings with it added convenience and value to the householders. At the same time, these devices tend to be Internet-connected and continuously monitor and collect data about the residents and their daily lifestyle activities. Such data can be of a sensitive nature, given that the house is the place where privacy is naturally expected. To gain insight into this state of affairs, we empirically investigate the privacy policies of 87 different categories of commercial smart home devices in terms of data being collected. This is done using a combination of manual and data mining techniques. The overall contribution of this work is a model that identifies and categorizes smart connected home data in terms of its collection mode, collection method, and collection phase. Our findings bring up several implications for smart connected home privacy, which include the need for better security controls to safeguard the privacy of the householders. |
Year | Venue | Field |
|---|---|---|
2018 | ICIOT | Security controls,Computer security,Computer science,Privacy policy,Internet of Things,Home automation,Safeguard,Data model,State of affairs |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Bugeja | 1 | 3 | 2.41 |
| Andreas Jacobsson | 2 | 77 | 10.61 |
| Paul Davidsson | 3 | 315 | 53.19 |