Miettinen, Markus ; Marchal, Samuel ; Hafeez, Ibbad ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, Sasu (2017):
IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT.
In: Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017),
DOI: 10.1109/ICDCS.2017.283,
[Conference or Workshop Item]
Abstract
With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing IP-connected devices for home and small office networks that often suffer from flawed security designs and implementations. They also tend to lack mechanisms for firmware updates or patches that can help eliminate security vulnerabilities. Securing networks where the presence of such vulnerable devices is given, requires a <i>brownfield approach</i>: applying necessary protection measures within the network so that potentially vulnerable devices can coexist without endangering the security of other devices in the same network.<br />In this paper, we present IoT Sentinel, a system capable of automatically identifying the types of devices being connected to an IoT network and enabling enforcement of rules for constraining the communications of vulnerable devices so as to minimize damage resulting from their compromise. We show that IoT Sentinel is effective in identifying device types and has minimal performance overhead.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2017 |
| Creators: | Miettinen, Markus ; Marchal, Samuel ; Hafeez, Ibbad ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, Sasu |
| Title: | IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT |
| Language: | German |
| Abstract: | With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing IP-connected devices for home and small office networks that often suffer from flawed security designs and implementations. They also tend to lack mechanisms for firmware updates or patches that can help eliminate security vulnerabilities. Securing networks where the presence of such vulnerable devices is given, requires a <i>brownfield approach</i>: applying necessary protection measures within the network so that potentially vulnerable devices can coexist without endangering the security of other devices in the same network.<br />In this paper, we present IoT Sentinel, a system capable of automatically identifying the types of devices being connected to an IoT network and enabling enforcement of rules for constraining the communications of vulnerable devices so as to minimize damage resulting from their compromise. We show that IoT Sentinel is effective in identifying device types and has minimal performance overhead. |
| Book Title: | Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017) |
| Uncontrolled Keywords: | ICRI-SC |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > System Security Lab Profile Areas Profile Areas > Cybersecurity (CYSEC) |
| Date Deposited: | 07 Mar 2017 11:34 |
| DOI: | 10.1109/ICDCS.2017.283 |
| Additional Information: | (to appear) |
| Identification Number: | TUD-CS-2017-0056 |
| PPN: | |
| Corresponding Links: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum