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Ensuring Trustworthiness in IoIT/AIoT: A Phase-Based Approach | IEEE Journals & Magazine | IEEE Xplore

Ensuring Trustworthiness in IoIT/AIoT: A Phase-Based Approach


Abstract:

Artificial intelligence (AI) and the Internet of Things (IoT) have quickly climbed in the ranking of the hottest terms in the technological arena. The integration of AI t...Show More

Abstract:

Artificial intelligence (AI) and the Internet of Things (IoT) have quickly climbed in the ranking of the hottest terms in the technological arena. The integration of AI techniques within IoT is considered extremely advantageous to improve the quality of IoT applications. However, the introduction of intelligence into IoT raises new security challenges related to the additional complexity and the increased volume of smart services, especially when facing attacks from intelligent malicious IoT nodes. In spite of the urgent demand for security in AI-enhanced IoT systems, a complete solution involving trust management (TM) among IoT devices is missing. In this article, a four-phase TM approach assessing the trustworthiness of intelligent nodes is presented. This approach is capable of dynamically and diversely assessing the trustwor-thiness in each phase, namely access control, service provider selection, evaluation, and classification. The simulation results show the effectiveness of the proposed approach for securing intelligent IoT systems.
Published in: IEEE Internet of Things Magazine ( Volume: 5, Issue: 2, June 2022)
Page(s): 84 - 88
Date of Publication: 13 September 2022

ISSN Information:

Funding Agency:

LORIA, Université de Lorraine, France
Runbo Su (runbo.su@loria.fr) received his M.Sc. degree in security of information systems and engineering degree in digital systems from the Université de Lorraine, France, in 2020. He is currently pursuing a Ph.D. degree at LORIA Lab, Department of Networks, Systems and Services, Université de Lorraine. His current research interests include security and resilient trust-based systems in the service-oriented Internet of T...Show More
Runbo Su (runbo.su@loria.fr) received his M.Sc. degree in security of information systems and engineering degree in digital systems from the Université de Lorraine, France, in 2020. He is currently pursuing a Ph.D. degree at LORIA Lab, Department of Networks, Systems and Services, Université de Lorraine. His current research interests include security and resilient trust-based systems in the service-oriented Internet of T...View more
STD lab, Military Academy of Tunisia, Tunisia
Arbia Riahi Sfar (arbia.riahi.sfar@gmail.com) received her Master's degree in information and communication technologies from the School of Communications Engineering (Sup'Com), Tunisia, and her Ph.D. degree in computer science at Cornpiégne University of Technology, France, and the Tunisian Polytechnic School (EPT), Tunisia, in 2017. She is currently an associate professor at the Military Academy of Tunisia. She is a mem...Show More
Arbia Riahi Sfar (arbia.riahi.sfar@gmail.com) received her Master's degree in information and communication technologies from the School of Communications Engineering (Sup'Com), Tunisia, and her Ph.D. degree in computer science at Cornpiégne University of Technology, France, and the Tunisian Polytechnic School (EPT), Tunisia, in 2017. She is currently an associate professor at the Military Academy of Tunisia. She is a mem...View more
LORIA, Université de Lorraine, France
Autonomous Robotics Research Centre, TII, France
Enrico Ntalizio [m'00, Sm'19] (enrico.natalizio@tii.ae) is a senior director with the Autonomous Robotics Research Center at the Technology Innovation Institute (TII), and a full professor at the Université de Lorraine. Until 2018, he was an associate professor at the Université de Technologie de Cornpiégne. Between 2005 and 2010, he worked as a research fellow at the Universita della Calabria, Italy, where he obtained hi...Show More
Enrico Ntalizio [m'00, Sm'19] (enrico.natalizio@tii.ae) is a senior director with the Autonomous Robotics Research Center at the Technology Innovation Institute (TII), and a full professor at the Université de Lorraine. Until 2018, he was an associate professor at the Université de Technologie de Cornpiégne. Between 2005 and 2010, he worked as a research fellow at the Universita della Calabria, Italy, where he obtained hi...View more
IECL, INRIA, Université de Lorraine, France
Pascal Moyal (pascal.moyal@univ-lorraine.fr) is a full professor in mathematics with Institut Elie Cartan (IECL) at Université de Lorraine. He earned a Ph.D. in applied probability (queueing theory) from Telecom Paris in 2005. He was then an associate professor in the Applied Mathematics Departement at Université de Technologie de Cornpiégne for 9 years, and an invited Associated Professor at the IEMS Department of Northw...Show More
Pascal Moyal (pascal.moyal@univ-lorraine.fr) is a full professor in mathematics with Institut Elie Cartan (IECL) at Université de Lorraine. He earned a Ph.D. in applied probability (queueing theory) from Telecom Paris in 2005. He was then an associate professor in the Applied Mathematics Departement at Université de Technologie de Cornpiégne for 9 years, and an invited Associated Professor at the IEMS Department of Northw...View more
LORIA, Université de Lorraine, France
Ye-qiong Song (ye-qiong.song@loria.fr) is a full professor at the Université de Lorraine and the head of the Department of Networks, Systems and Services at LORIA lab. He has authored/coauthored one book (published by ISTE-Wiley) and over 200 scientific articles. His research interests include modeling and performance evaluation of networks and real-time distributed systems, as well as the implementation of real-time qual...Show More
Ye-qiong Song (ye-qiong.song@loria.fr) is a full professor at the Université de Lorraine and the head of the Department of Networks, Systems and Services at LORIA lab. He has authored/coauthored one book (published by ISTE-Wiley) and over 200 scientific articles. His research interests include modeling and performance evaluation of networks and real-time distributed systems, as well as the implementation of real-time qual...View more

LORIA, Université de Lorraine, France
Runbo Su (runbo.su@loria.fr) received his M.Sc. degree in security of information systems and engineering degree in digital systems from the Université de Lorraine, France, in 2020. He is currently pursuing a Ph.D. degree at LORIA Lab, Department of Networks, Systems and Services, Université de Lorraine. His current research interests include security and resilient trust-based systems in the service-oriented Internet of Things.
Runbo Su (runbo.su@loria.fr) received his M.Sc. degree in security of information systems and engineering degree in digital systems from the Université de Lorraine, France, in 2020. He is currently pursuing a Ph.D. degree at LORIA Lab, Department of Networks, Systems and Services, Université de Lorraine. His current research interests include security and resilient trust-based systems in the service-oriented Internet of Things.View more
STD lab, Military Academy of Tunisia, Tunisia
Arbia Riahi Sfar (arbia.riahi.sfar@gmail.com) received her Master's degree in information and communication technologies from the School of Communications Engineering (Sup'Com), Tunisia, and her Ph.D. degree in computer science at Cornpiégne University of Technology, France, and the Tunisian Polytechnic School (EPT), Tunisia, in 2017. She is currently an associate professor at the Military Academy of Tunisia. She is a member of the STD Laboratory, where she is conducting research in trust management and privacy in the Internet of Things.
Arbia Riahi Sfar (arbia.riahi.sfar@gmail.com) received her Master's degree in information and communication technologies from the School of Communications Engineering (Sup'Com), Tunisia, and her Ph.D. degree in computer science at Cornpiégne University of Technology, France, and the Tunisian Polytechnic School (EPT), Tunisia, in 2017. She is currently an associate professor at the Military Academy of Tunisia. She is a member of the STD Laboratory, where she is conducting research in trust management and privacy in the Internet of Things.View more
LORIA, Université de Lorraine, France
Autonomous Robotics Research Centre, TII, France
Enrico Ntalizio [m'00, Sm'19] (enrico.natalizio@tii.ae) is a senior director with the Autonomous Robotics Research Center at the Technology Innovation Institute (TII), and a full professor at the Université de Lorraine. Until 2018, he was an associate professor at the Université de Technologie de Cornpiégne. Between 2005 and 2010, he worked as a research fellow at the Universita della Calabria, Italy, where he obtained his Ph.D. in 2005. From 2010 to 2012, he worked at INRIA Lille as a postdoctoral researcher. His current research interests include group communication in wireless robot networks and trust management, and coordination and cooperation among swarm networked devices.
Enrico Ntalizio [m'00, Sm'19] (enrico.natalizio@tii.ae) is a senior director with the Autonomous Robotics Research Center at the Technology Innovation Institute (TII), and a full professor at the Université de Lorraine. Until 2018, he was an associate professor at the Université de Technologie de Cornpiégne. Between 2005 and 2010, he worked as a research fellow at the Universita della Calabria, Italy, where he obtained his Ph.D. in 2005. From 2010 to 2012, he worked at INRIA Lille as a postdoctoral researcher. His current research interests include group communication in wireless robot networks and trust management, and coordination and cooperation among swarm networked devices.View more
IECL, INRIA, Université de Lorraine, France
Pascal Moyal (pascal.moyal@univ-lorraine.fr) is a full professor in mathematics with Institut Elie Cartan (IECL) at Université de Lorraine. He earned a Ph.D. in applied probability (queueing theory) from Telecom Paris in 2005. He was then an associate professor in the Applied Mathematics Departement at Université de Technologie de Cornpiégne for 9 years, and an invited Associated Professor at the IEMS Department of Northwestern University, for 2 years. His current research interests include the probabilistic modelling of networks (queueing theory, stochastic networks, random graphs), the study of stochastic processes, Graph theory and probability theory.
Pascal Moyal (pascal.moyal@univ-lorraine.fr) is a full professor in mathematics with Institut Elie Cartan (IECL) at Université de Lorraine. He earned a Ph.D. in applied probability (queueing theory) from Telecom Paris in 2005. He was then an associate professor in the Applied Mathematics Departement at Université de Technologie de Cornpiégne for 9 years, and an invited Associated Professor at the IEMS Department of Northwestern University, for 2 years. His current research interests include the probabilistic modelling of networks (queueing theory, stochastic networks, random graphs), the study of stochastic processes, Graph theory and probability theory.View more
LORIA, Université de Lorraine, France
Ye-qiong Song (ye-qiong.song@loria.fr) is a full professor at the Université de Lorraine and the head of the Department of Networks, Systems and Services at LORIA lab. He has authored/coauthored one book (published by ISTE-Wiley) and over 200 scientific articles. His research interests include modeling and performance evaluation of networks and real-time distributed systems, as well as the implementation of real-time quality-of-service mechanisms in industrial networks, time-sensitive networks, in-vehicle networks, IP networks, power line communication networks, IoT, and wireless sensor networks.
Ye-qiong Song (ye-qiong.song@loria.fr) is a full professor at the Université de Lorraine and the head of the Department of Networks, Systems and Services at LORIA lab. He has authored/coauthored one book (published by ISTE-Wiley) and over 200 scientific articles. His research interests include modeling and performance evaluation of networks and real-time distributed systems, as well as the implementation of real-time quality-of-service mechanisms in industrial networks, time-sensitive networks, in-vehicle networks, IP networks, power line communication networks, IoT, and wireless sensor networks.View more
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