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Internal Interface Diversification as a Security Measure in Sensor Networks

Sampsa Rauti, Lauri Koivunen, Petteri Mäki, Shohreh Hosseinzadeh, Samuel Laurén, Johannes Holvitie, Ville Leppänen, Internal Interface Diversification as a Security Measure in Sensor Networks. Journal of Sensor and Actuator Networks 7(12), 1–20, 2018.

http://dx.doi.org/10.3390/jsan7010012

Abstract:

More actuator and sensor devices are connected to the Internet of Things (IoT) every day, and the network keeps growing, while software security of the devices is often incomplete. Sensor networks and the IoT in general currently cover a large number of devices with an identical internal interface structure. By diversifying the internal interfaces, the interfaces on each node of the network are made unique, and it is possible to break the software monoculture of easily exploitable identical systems. This paper proposes internal interface diversification as a security measure for sensor networks. We conduct a study on diversifiable internal interfaces in 20 IoT operating systems. We also present two proof-of-concept implementations and perform experiments to gauge the feasibility in the IoT environment. Internal interface diversification has practical limitations, and not all IoT operating systems have that many diversifiable interfaces. However, because of low resource requirements, compatibility with other security measures and wide applicability to several interfaces, we believe internal interface diversification is a promising and effective approach for securing nodes in sensor networks.

BibTeX entry:

@ARTICLE{jRaKoMxHoLaHoLe18a,
  title = {Internal Interface Diversification as a Security Measure in Sensor Networks},
  author = {Rauti, Sampsa and Koivunen, Lauri and Mäki, Petteri and Hosseinzadeh, Shohreh and Laurén, Samuel and Holvitie, Johannes and Leppänen, Ville},
  journal = {Journal of Sensor and Actuator Networks},
  volume = {7},
  number = {12},
  pages = {1–20},
  year = {2018},
  keywords = { interface diversification, security, software, Internet of Things},
  ISSN = {2224-2708},
}

Belongs to TUCS Research Unit(s): Software Development Laboratory (SwDev)

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