False Data Detection for Fog and Internet of Things Networks

Sensors

卷:19

Laura Pierucci¹  Romano Fantacci¹  Francesca Nizzi¹  Tommaso Pecorella¹  Manuel Roveri² 

[1] Department of Information Engineering, University of Florence, 50139 Firenze, Italy;

[2] Dipartimento di Elettronica e Informazione, Politecnico di Milano, 20133 Milano, Italy;

关键词: internet of things;    security;    dynamic protection;    intelligence for embedded and cyber-physical systems;    adaptive systems;    fault detection and diagnosis;    smart sensor networks;   

DOI  :  10.3390/s19194235

来源: DOAJ

【 摘 要 】

The Internet of Things (IoT) context brings new security issues due to billions of smart end-devices both interconnected in wireless networks and connected to the Internet by using different technologies. In this paper, we propose an attack-detection method, named Data Intrusion Detection System (DataIDS), based on real-time data analysis. As end devices are mainly resource constrained, Fog Computing (FC) is introduced to implement the DataIDS. FC increases storage, computation capabilities, and processing capabilities, allowing it to detect promptly an attack with respect to security solutions on the Cloud. This paper also considers an attack tree to model threats and vulnerabilities of Fog/IoT scenarios with heterogeneous devices and suggests countermeasure costs. We verify the performance of the proposed DataIDS, implementing a testbed with several devices that measure different physical quantities and by using standard data-gathering protocols.

【 授权许可】

Unknown