FogTrust: Fog-Integrated Multi-Leveled Trust Management Mechanism for Internet of Things

The Internet of Things (IoT) is widely used to reduce human dependence. It is a network of interconnected smart devices with internet connectivity that can send and receive data. However, the rapid growth of IoT devices has raised security and privacy concerns, with the identification and removal of compromised and malicious nodes being a major challenge. To overcome this, a lightweight trust management mechanism called FogTrust is proposed. It has a multi-layer architecture that includes edge nodes, a trusted agent, and a fog layer. The trust agent acts as an intermediary authority, communicating with both IoT nodes and the fog layer for computation. This reduces the burden on nodes and ensures a trustworthy environment. The trust agent calculates the trust degree and transmits it to the fog layer, which uses encryption to maintain integrity. The encrypted value is shared with the trust agent for aggregation to improve the trust degree’s accuracy. The performance of the FogTrust approach was evaluated against various potential attacks, including On-off, Good-mouthing, and Bad-mouthing. The simulation results demonstrate that it effectively assigns low trust degrees to malicious nodes in different scenarios, even with varying percentages of malicious nodes in the network.

[1]  H. Gooi,et al.  Distributed operation optimization of active distribution network with P2P electricity trading in blockchain environment , 2023, Applied Energy.

[2]  K. Haseeb,et al.  Energy-Aware Next-Generation Mobile Routing Chains with Fog Computing for Emerging Applications , 2023, Electronics.

[3]  K. Zia,et al.  Bio-Inspired Optimization in Fog and Edge Computing Environments , 2022 .

[4]  Sarbjeet Singh,et al.  SLA-based Multi-dimensional Trust Model for Fog Computing Environments , 2022, Journal of Grid Computing.

[5]  Milad Baghalzadeh Shishehgarkhaneh,et al.  Internet of Things (IoT), Building Information Modeling (BIM), and Digital Twin in Construction Industry: A Review, Bibliometric, and Network Analysis , 2022, Buildings.

[6]  S. Libertino,et al.  A Review of Stimuli-Responsive Smart Materials for Wearable Technology in Healthcare: Retrospective, Perspective, and Prospective , 2022, Molecules.

[7]  C. Iwendi,et al.  Next Generation IoT and Blockchain Integration , 2022, J. Sensors.

[8]  N. Mustapha,et al.  Internet of Things (IoT) Based Activity Recognition Strategies in Smart Homes: A Review , 2022, IEEE Sensors Journal.

[9]  M. Khan,et al.  Evolution towards Smart and Software-Defined Internet of Things , 2022, AI.

[10]  Alex Koohang,et al.  Internet of Things (IoT): From awareness to continued use , 2022, Int. J. Inf. Manag..

[11]  Gang Qu,et al.  Voltage Over-Scaling-Based Lightweight Authentication for IoT Security , 2021, IEEE Transactions on Computers.

[12]  R. Latif ConTrust: A Novel Context-Dependent Trust Management Model in Social Internet of Things , 2022, IEEE Access.

[13]  I. B. Sofi,et al.  Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability , 2021, Agriculture.

[14]  Georges Kaddoum,et al.  Security in IoT-Driven Mobile Edge Computing: New Paradigms, Challenges, and Opportunities , 2021, IEEE Network.

[15]  Kashif Saleem,et al.  Subjective logic-based trust model for fog computing , 2021, Comput. Commun..

[16]  Ismaila Adeniyi Kamil,et al.  A trust management system for fog computing services , 2021, Internet Things.

[17]  Rami S. Alkhawaldeh,et al.  A Review on the Security of the Internet of Things: Challenges and Solutions , 2021, Wireless Personal Communications.

[18]  Arun Ravindran,et al.  Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge , 2021, IEEE Access.

[19]  Ikram Ud Din,et al.  AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things , 2020, Sensors.

[20]  Sidi-Mohammed Senouci,et al.  A two-way trust management system for fog computing , 2020, Future Gener. Comput. Syst..

[21]  Thar Baker,et al.  COMITMENT: A Fog Computing Trust Management Approach , 2020, J. Parallel Distributed Comput..

[22]  Christian Damsgaard Jensen,et al.  CyberShip-IoT: A dynamic and adaptive SDN-based security policy enforcement framework for ships , 2019, Future Gener. Comput. Syst..

[23]  Byung-Seo Kim,et al.  The Internet of Things: A Review of Enabled Technologies and Future Challenges , 2019, IEEE Access.

[24]  S. H. Shah Newaz,et al.  Trustworthiness in Fog: A Fuzzy Approach , 2017, ICNCC.

[25]  Hajar Mousannif,et al.  Access control in the Internet of Things: Big challenges and new opportunities , 2017, Comput. Networks.

[26]  Kevin Ashton,et al.  That ‘Internet of Things’ Thing , 1999 .