A survey on trust management for Internet of Things

By Zheng Yan, Peng Zhang, Athanasios V. Vasilakos. 2014

1,121 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Networks and Communications

In Information Systems

Citations in the corpus

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “Keywords: Data Fusion, Internet of Things, Data Privacy, Security, Smart Home, Smart Grid, Smart Transportation 1 INTRODUCTION IoT aims to create a world that enables the interconnection and integration of things in physical world and cyber space [1].”
Internet of things security: A top-down survey (2018, background): “We can think about the high mobility of connected cars that could make the trust management problem a very hard task to achieve compared to other applications where the mobility is low [55, 131].”
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, background): “Readers that are interested in that speciﬁc topic may refer to following works: Butun [25], Chen et al. [26], Ott et al. [27], Sicari et al. [28], and Yan et al. [29].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “This situation simplifies the new communication forms among things and humans and thus enables the realisation of smart cities [2].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “vacy [12], trust [13], Social Internet of Things (SIoT) [14], communication [15], context awareness [16], and future directions [6], [17].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “ng among the edge servers has to be accomplished based on a proper trust management framework. The comprehen28 PREPARED FOR IEEE COMMUNICATIONS SURVEYS AND TUTORIALS sive literature surveys in [180], [181] summarize the recent research works on IoT trust. To gain the deeper understanding of the tech”
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? (2018, background): “Wearable devices that collect user’s personal information such as location and health information have witnessed an increased risk of personal privacy leakage [26].”
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks (2016, background): “In [35, 36], the authors have proposed the algorithms for addressing the security issues in WSNs.”
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures (2019, neutral): “Privacy-preserving scientiﬁc computations (PPSC) [180] should be employed for preventing privacy leakage.”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “Recently, access control [58] and trust management [59] approaches have been reviewed to protect the security and privacy of IoT.”
Evaluating Critical Security Issues of the IoT World: Present and Future Challenges (2018, methodology): “To provide trustworthy IoT system, trust management in IoT should achieve the following objectives grouped in different categories [16].”