| Title | A Methodology for Privacy-Aware IoT-Forensics |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | A. Nieto, R. Rios, and J. Lopez |
| Conference Name | 16th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom 2017) |
| Pagination | 626-633 |
| Date Published | 08/2017 |
| Publisher | IEEE |
| Conference Location | Sydney (Australia) |
| ISBN Number | 978-1-5090-4906-6 |
| ISSN Number | 2324-9013 |
| Keywords | Adaptation models, Forensics, IEC Standards, Information management, ISO Standards, privacy, Software |
| Abstract | The Internet of Things (IoT) brings new challenges to digital forensics. Given the number and heterogeneity of devices in such scenarios, it bring extremely difficult to carry out investigations without the cooperation of individuals. Even if they are not directly involved in the offense, their devices can yield digital evidence that might provide useful clarification in an investigation. However, when providing such evidence they may leak sensitive personal information. This paper proposes PRoFIT; a new model for IoT-forensics that takes privacy into consideration by incorporating the requirements of ISO/IEC 29100:2011 throughout the investigation life cycle. PRoFIT is intended to lay the groundwork for the voluntary cooperation of individuals in cyber crime investigations. |
| DOI | 10.1109/Trustcom/BigDataSE/ICESS.2017.293 |
| Citation Key | 1652 |
A Methodology for Privacy-Aware IoT-Forensics
Paper File:
https://nics.uma.es:8082/sites/default/files/papers/1652.pdf
