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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title SpecForce: A Framework to Secure IoT Spectrum Sensors in the Internet of Battlefield Things
Organization Unit
  • Pedro Miguel Sánchez Sánchez
  • Alberto Huertas Celdran
  • Gerome Bovet
  • Gregorio Martínez Pérez
  • Burkhard Stiller
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Journal Title IEEE Communications Magazine
Publisher Institute of Electrical and Electronics Engineers
Geographical Reach international
ISSN 0163-6804
Volume 61
Number 5
Page Range 174 - 180
Date 2023
Abstract Text The battlefield has evolved into a mobile and dynamic scenario where soldiers and heterogeneous military equipment exchange information in real-time and wirelessly. This fact brings to reality the Internet of Battlefield Things (IoBT). Wireless communications are key enablers for the IoBT, and their management is critical due to the spectrum scarcity and the increasing number of IoBT devices. In this sense, IoBT spectrum sensors are deployed on the battlefield to monitor the frequency spectrum, transmit over unoccupied bands, intercept enemy transmissions, or decode valuable information. However, IoBT spectrum sensors are vulnerable to heterogeneous cyber-attacks, and their accurate detection is an open challenge in the literature. Thus, this paper presents SpecForce, a security framework for IoBT spectrum sensors based on device behavioral fingerprinting and ML/DL techniques. SpecForce considers heterogeneous data sources to detect the most dangerous and recent cyber-attacks affecting IoBT spectrum sensors, such as impersonation, malware, and spectrum sensing data falsification attacks. To evaluate the SpecForce detection performance, it has been deployed on 25 real spectrum sensors, and results show almost perfect detection for the three cyber-attack families previously mentioned.
Digital Object Identifier 10.1109/MCOM.001.2200349
Other Identification Number merlin-id:23171
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