TY - JOUR
T1 - A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems
AU - Ratasich, Denise
AU - Khalid, Faiq
AU - Geissler, Florian
AU - Grosu, Radu
AU - Shafique, Muhammad
AU - Bartocci, Ezio
N1 - Funding Information:
This work was supported by NNSF of China, NSF of Guangdong Province and Research Fund for the Doctoral Program of Higher Education.
Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - The Internet of Things (IoT) is a ubiquitous system connecting many different devices - the things - which can be accessed from the distance. The cyber-physical systems (CPSs) monitor and control the things from the distance. As a result, the concepts of dependability and security get deeply intertwined. The increasing level of dynamicity, heterogeneity, and complexity adds to the system's vulnerability, and challenges its ability to react to faults. This paper summarizes the state of the art of existing work on anomaly detection, fault-tolerance, and self-healing, and adds a number of other methods applicable to achieve resilience in an IoT. We particularly focus on non-intrusive methods ensuring data integrity in the network. Furthermore, this paper presents the main challenges in building a resilient IoT for the CPS, which is crucial in the era of smart CPS with enhanced connectivity (an excellent example of such a system is connected autonomous vehicles). It further summarizes our solutions, work-in-progress and future work to this topic to enable 'Trustworthy IoT for CPS'. Finally, this framework is illustrated on a selected use case: a smart sensor infrastructure in the transport domain.
AB - The Internet of Things (IoT) is a ubiquitous system connecting many different devices - the things - which can be accessed from the distance. The cyber-physical systems (CPSs) monitor and control the things from the distance. As a result, the concepts of dependability and security get deeply intertwined. The increasing level of dynamicity, heterogeneity, and complexity adds to the system's vulnerability, and challenges its ability to react to faults. This paper summarizes the state of the art of existing work on anomaly detection, fault-tolerance, and self-healing, and adds a number of other methods applicable to achieve resilience in an IoT. We particularly focus on non-intrusive methods ensuring data integrity in the network. Furthermore, this paper presents the main challenges in building a resilient IoT for the CPS, which is crucial in the era of smart CPS with enhanced connectivity (an excellent example of such a system is connected autonomous vehicles). It further summarizes our solutions, work-in-progress and future work to this topic to enable 'Trustworthy IoT for CPS'. Finally, this framework is illustrated on a selected use case: a smart sensor infrastructure in the transport domain.
KW - Anomaly detection
KW - cyber-physical systems (CPS)
KW - Internet of Things (IoT)
KW - long-term dependability and security
KW - monitoring
KW - resilience
KW - self-adaptation
KW - self-healing
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U2 - 10.1109/ACCESS.2019.2891969
DO - 10.1109/ACCESS.2019.2891969
M3 - Article
AN - SCOPUS:85061343060
SN - 2169-3536
VL - 7
SP - 13260
EP - 13283
JO - IEEE Access
JF - IEEE Access
M1 - 8606923
ER -