Abstract
We present our ongoing work on SPIN, a muchneeded open source measurement platform that enables researchers and other users to easily analyze the security features of devices in the "Internet of Things" (IoT), specifically in-home networks. SPIN accomplishes this by mapping and enhancing network-level measurements in the home network and by making them available through a well-defined interface. This enables all kinds of new applications for research and commercial purposes, such as privacy managers for consumers that visualize insecure IoT devices and their connections, and new algorithms that automatically block botnet traffic to protect the public Internet against IoT-powered DDoS attacks. SPIN is a flexible distributed system that runs in the home network and that keeps users in control. We have validated SPIN in our lab through prototype implementations.
Original language | English |
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Title of host publication | Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020 |
Subtitle of host publication | Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020 |
Publisher | IEEE |
ISBN (Electronic) | 9781728149738 |
DOIs | |
Publication status | Published - Apr 2020 |
Event | 17th IEEE/IFIP Network Operations and Management Symposium, NOMS 2020: Management in the Age of Softwarization and Artificial Intelligence - Virtual conference, Budapest, Hungary Duration: 20 Apr 2020 → 24 Apr 2020 Conference number: 17 https://noms2020.ieee-noms.org/ (Conference) |
Conference
Conference | 17th IEEE/IFIP Network Operations and Management Symposium, NOMS 2020 |
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Abbreviated title | NOMS |
Country/Territory | Hungary |
City | Budapest |
Period | 20/04/20 → 24/04/20 |
Internet address |
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Keywords
- Home Networks
- Internet of Things
- Measurements
- Privacy
- Security
- n/a OA procedure