Securing Internet of Things Devices Using the Network Context

  • Trnka M.; 
  • Svacina J.; 
  • Cerny T.; 
  • Song E.; 
  • Hong J.; 
  • 외 1명
Citations

WEB OF SCIENCE

7
Citations

SCOPUS

8

초록

Internet of Things (IoT) devices have been widely adopted in recent years. Unlike conventional information systems, IoT solutions have greater access to real-world contextual data and are typically deployed in an environment that cannot be fully controlled, and these circumstances create new challenges and opportunities. In this article, we leverage the knowledge that an IoT device has about its network context to provide an additional security factor. The device periodically scans a network and reports a list of all devices in the network. The server analyzes movements in the network and subsequently reacts to suspicious events. This article describes how our method can detect network changes, retrieved only from scanning devices in the network. To demonstrate the proposed solution, we perform a multiweek case study on a network with hundreds of active devices and confirm that our method can detect network anomalies or changes. © 2005-2012 IEEE.

키워드

anomaly detection; authentication; Context-awareness; Internet of Things (IoT); security; Anomaly detection; Authentication; Knowledge management; Active devices; Context- awareness; Internet of Things (IOT); Network anomalies; Network contexts; Scanning device; security; Security factors; Internet of things
제목
Securing Internet of Things Devices Using the Network Context
저자
Trnka M.; Svacina J.; Cerny T.; Song E.; Hong J.; Bures M.
DOI
10.1109/TII.2019.2954100
발행일
2020-06
유형
Article
저널명
IEEE Transactions on Industrial Informatics
권
16
호
6
페이지
4017 ~ 4027