Using local trust measures to form agent CoT groups1

2020 ◽  
Vol 14 (1) ◽  
pp. 33-44
Author(s):  
Giancarlo Fortino ◽  
Lidia Fotia ◽  
Fabrizio Messina ◽  
Domenico Rosaci ◽  
Giuseppe M.L. Sarné
Keyword(s):  
Social Skills ◽  
Software Agents ◽  
Trust Model ◽  
Complex Tasks ◽  
Social Communities ◽  
Model Based ◽  
Trust Relationships ◽  
Sensitive Question ◽  
Iot Devices ◽  
Simulated Scenario

 IoT devices dealing with complex tasks usually require powerful hardware capabilities or, as a possible alternative, to get on the Cloud those resources they need. When an IoT device is “virtualized” on the Cloud, it can take benefit from relying on one or more software agents and their social skills to mutually interact and cooperate. In particular, in a Cloud of Things scenario, where agents cooperate to perform complex tasks, the choice of a partner is a sensitive question. In such a context, when an agent is not capable to perform a reliable choice then, like real social communities, it can ask information to other agents it considers as trustworthy. In order to support agents in their partner choices, we conceived a local trust model, based on reliability and reputation measures coming from its ego-network, adopted to partition the agents in groups by exploiting trust relationships to allow agents to be associated with the most reliable partners. To this aim, we designed an algorithm to form agent groups by exploiting available local trust measures and the results obtained in a simulated scenario confirmed the potential advantages of this approach.

Trust Management Model based on Fuzzy Approach for Ubiquitous Computing

2016 ◽  
Vol 7 (2) ◽  
pp. 33-46 ◽  
Author(s):  
Nalini A. Mhetre ◽  
Arvind V. Deshpande ◽  
Parikshit Narendra Mahalle
Keyword(s):  
Ubiquitous Computing ◽  
Trust Management ◽  
Future Internet ◽  
Trust Model ◽  
Model Based ◽  
Trust Relationships ◽  
Current State ◽  
Proposed Model ◽  
Security Properties ◽  
Trust Models

The current state of ubiquitous computing has been greatly influenced by emerging networking developments like Internet of Things (IoT), Future Internet etc. Adequate trust management is crucial to provide security. The entities involved in communication must be trusted for specific purposes depending on their role. Using trust model, devices can run trust computations and guide their behaviors. To this effect, a method is needed to evaluate the level of trust between devices. Trust models investigated so far discusses that devices face problems when communicating as transforming trust relationships from real to virtual world requires the negotiation of trust based on the security properties of devices. However, these models are developed in limited devices. This paper proposes a distributed trust model for device-to-device communication in ubiquitous computing. Mathematical model based on fuzzy rules to establish trust is presented. Fuzzy simulation of the model is presented to validate the findings. Simulation results show that proposed model calculates fuzzy trust values reliably.

Trust Management Model based on Fuzzy Approach for Ubiquitous Computing

2020 ◽  
pp. 398-412
Author(s):  
Nalini A. Mhetre ◽  
Arvind V. Deshpande ◽  
Parikshit Narendra Mahalle
Keyword(s):  
Ubiquitous Computing ◽  
Trust Management ◽  
Future Internet ◽  
Trust Model ◽  
Model Based ◽  
Trust Relationships ◽  
Current State ◽  
Proposed Model ◽  
Security Properties ◽  
Trust Models

The current state of ubiquitous computing has been greatly influenced by emerging networking developments like Internet of Things (IoT), Future Internet etc. Adequate trust management is crucial to provide security. The entities involved in communication must be trusted for specific purposes depending on their role. Using trust model, devices can run trust computations and guide their behaviors. To this effect, a method is needed to evaluate the level of trust between devices. Trust models investigated so far discusses that devices face problems when communicating as transforming trust relationships from real to virtual world requires the negotiation of trust based on the security properties of devices. However, these models are developed in limited devices. This paper proposes a distributed trust model for device-to-device communication in ubiquitous computing. Mathematical model based on fuzzy rules to establish trust is presented. Fuzzy simulation of the model is presented to validate the findings. Simulation results show that proposed model calculates fuzzy trust values reliably.

Grid trust model based on MADM theory

2009 ◽  
Vol 28 (10) ◽  
pp. 2455-2458
Author(s):  
Yi-yu YU ◽  
Jun-hua TANG ◽  
Yue WU
Keyword(s):  
Trust Model ◽  
Model Based

Improving Energy Efficiency in Internet of Things using Artificial Bee Colony Algorithm

2020 ◽  
Vol 14 ◽  
Author(s):  
M. Sivaram ◽  
V. Porkodi ◽  
Amin Salih Mohammed ◽  
S. Anbu Karuppusamy
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Artificial Bee Colony ◽  
Trust Model ◽  
Sensor Nodes ◽  
Remote Areas ◽  
Bee Colony ◽  
Important Concern ◽  
Wide Range ◽  
Iot Devices

Background: With the advent of IoT, the deployment of batteries with a limited lifetime in remote areas is a major concern. In certain conditions, the network lifetime gets restricted due to limited battery constraints. Subsequently, the collaborative approaches for key facilities help to reduce the constraint demands of the current security protocols. Aim: This work covers and combines a wide range of concepts linked by IoT based on security and energy efficiency. Specifically, this study examines the WSN energy efficiency problem in IoT and security for the management of threats in IoT through collaborative approaches and finally outlines the future. The concept of energy-efficient key protocols which clearly cover heterogeneous IoT communications among peers with different resources has been developed. Because of the low capacity of sensor nodes, energy efficiency in WSNs has been an important concern. Methods: Hence, in this paper, we present an algorithm for Artificial Bee Colony (ABC) which reviews security and energy consumption to discuss their constraints in the IoT scenarios. Results: The results of a detailed experimental assessment are analyzed in terms of communication cost, energy consumption and security, which prove the relevance of a proposed ABC approach and a key establishment. Conclusion: The validation of DTLS-ABC consists of designing an inter-node cooperation trust model for the creation of a trusted community of elements that are mutually supportive. Initial attempts to design the key methods for management are appropriate individual IoT devices. This gives the system designers, an option that considers the question of scalability.

scholarly journals Research on Consumer Initial Trust Model Based on Internet of Things

2021 ◽  
Vol 1769 (1) ◽  
pp. 012006
Author(s):  
Ai-Ling Wang ◽  
Lei-ming Li ◽  
Guo-ling Xu
Keyword(s):  
Internet Of Things ◽  
Trust Model ◽  
Initial Trust ◽  
Model Based
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