IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT

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 me...

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Vydáno v:Proceedings of the International Conference on Distributed Computing Systems s. 2177 - 2184
Hlavní autoři: Miettinen, Markus, Sadeghi, Ahmad-Reza, Marchal, Samuel, Asokan, N., Hafeez, Ibbad, Tarkoma, Sasu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2017
Témata:
device fingerprinting
device identification
IoT security
IP networks
Logic gates
Object recognition
Ports (Computers)
Protocols
Security
threat mitigation
Wireless fidelity
ISSN:1063-6927
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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 brownfield approach: 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. 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.
AbstractList 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 brownfield approach: 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. 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.
Author Marchal, Samuel
Hafeez, Ibbad
Miettinen, Markus
Sadeghi, Ahmad-Reza
Asokan, N.
Tarkoma, Sasu
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  surname: Tarkoma
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  email: sasu.tarkoma@cs.helsinki.fi
  organization: Univ. of Helsinki, Helsinki, Finland
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Snippet With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing...
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SubjectTerms device fingerprinting
device identification
IoT security
IP networks
Logic gates
Object recognition
Ports (Computers)
Protocols
Security
threat mitigation
Wireless fidelity
Title IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT
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