Proceedings of the 2018 Workshop on Attacks and Solutions in Hardware Security, 2018, p.41-50
2018
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Details
- Autor(en) / Beteiligte
- Titel
- Behavioral Fingerprinting of IoT Devices
- Ist Teil von
- Proceedings of the 2018 Workshop on Attacks and Solutions in Hardware Security, 2018, p.41-50
- Ort / Verlag
- New York, NY, USA: ACM
- Erscheinungsjahr
- 2018
- Quelle
- ACM Digital Library
- Beschreibungen/Notizen
- The Internet-of-Things (IoT) has brought in new challenges in device identification --what the device is, and authentication --is the device the one it claims to be. Traditionally, the authentication problem is solved by means of a cryptographic protocol. However, the computational complexity of cryptographic protocols and/or problems related to key management, render almost all cryptography based authentication protocols impractical for IoT. The problem of device identification is, on the other hand, sadly neglected. Almost always an artificially created identity is softly associated with the device. We believe that device fingerprinting can be used to solve both these problems effectively. In this work, we present a methodology to perform IoT device behavioral fingerprinting that can be employed to undertake strong device identification. A device behavior is approximated using features extracted from the network traffic of the device. These features are used to train a machine learning model that can be used to detect similar device-types. We validate our approach using five-fold cross validation; we report a identification rate of 93-100 and a mean accuracy of 99%, across all our experiments. Furthermore, we show preliminary results for fingerprinting device categories, i.e., identifying different devices having similar functionality.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 1450359965, 9781450359962DOI: 10.1145/3266444.3266452Titel-ID: cdi_acm_books_10_1145_3266444_3266452_brief
- Format
- –
- Schlagworte
- Hardware -- Communication hardware, interfaces and storage -- Sensor devices and platforms, Hardware -- Communication hardware, interfaces and storage -- Wireless devices, Hardware -- Communication hardware, interfaces and storage -- Wireless integrated network sensors, Networks -- Network properties -- Network manageability, Networks -- Network protocols -- Session protocols, Networks -- Network services -- Network monitoring, Security and privacy -- Intrusion/anomaly detection and malware mitigation, Security and privacy -- Network security -- Mobile and wireless security, Security and privacy -- Network security -- Security protocols, Security and privacy -- Security in hardware -- Hardware attacks and countermeasures, Security and privacy -- Systems security -- Distributed systems security