Name
Abstract | ||
|---|---|---|
More and more current industrial control systems (e.g, smart grids, oil and gas systems, connected cars and trucks) have the capability to collect and transmit users' data in order to provide services that are tailored to the specific needs of the customers. Such smart industrial control systems fall into the category of Internet of Things (IoT). However, in many cases, the data transmitted by such IoT devices includes sensitive information and users are faced with an all-or-nothing choice: either they adopt the proposed services and release their private data, or refrain from using services which could be beneficial but pose significant privacy risks. Unfortunately, encryption alone does not solve the problem, though techniques to counter these privacy risks are emerging (e.g., by using applications that alter, merge or bundle data to ensure they cannot be linked to a particular user). In this paper, we propose a general framework, whereby users can not only specify how their data is managed, but also restrict data collection from their connected devices. More precisely, we propose to use data collection policies to govern the transmission of data from IoT devices, coupled with policies to ensure that once the data has been transmitted, it is stored and shared in a secure way. To achieve this goal, we have designed a framework for secure data collection, storage and management, with logical foundations that enable verification of policy properties. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/3018981.3018982 | Proceedings of the 2nd Annual Industrial Control System Security Workshop |
DocType | ISBN | Citations |
Conference | 978-1-4503-4788-4 | 1 |
PageRank | References | Authors |
0.36 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maribel Fernández | 1 | 37 | 2.26 |
| Murat Kantarcioglu | 2 | 2470 | 168.03 |
| Bhavani M. Thuraisingham | 3 | 2587 | 282.14 |