Social Principles in Agent-Based Trust Management for the Internet of Things

2017 ◽  
Author(s):  
Kalliopi Kravari ◽  
Nick Bassiliades
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
The Internet ◽  
Agent Based ◽  
The Internet Of Things

scholarly journals Modules of Organizational and Technical Systems for Solving Problems of Adaptation in a Rapidly Changing Environment

2020 ◽  
Vol 24 (5) ◽  
pp. 82-90
Author(s):  
A. Mikryukov ◽  
V. M. Trembach ◽  
A. V. Danilov
Keyword(s):  
Internet Of Things ◽  
Knowledge Base ◽  
External Environment ◽  
The Internet ◽  
Cyberphysical Systems ◽  
Adaptation Algorithm ◽  
Cognitive Approach ◽  
Agent Based ◽  
Cyberphysical System ◽  
The Internet Of Things

Purpose of research. The aim of the research is to form modules of organizational and technical systems (OTS) using a cognitive approach to solve problems of adaptation of cyberphysical systems. Currently, there is a rapid development of elements of the Internet of things. New tasks related to self-organization and adaptation in a rapidly changing external environment are brought to the fore. These tasks occur when new elements appear in the telecommunications computer network, they fail, change the mode, new tasks occur, etc. To work out these tasks, the possibilities of approaches to support and decision-making such as situational, cognitive, and semiotic are considered. The authors consider the cognitive approach in more detail. Within the framework of the cognitive paradigm, the article describes the use of the cognitive approach for solving problems of adaptation of cyberphysical systems. To solve this problem on the basis of an agent-based approach, the structure of a cyberphysical system with the possibility of adaptation is presented and the functions of its agents are described. The main stages of solving problems of adaptation of cyberphysical systems are presented. An adaptation algorithm using the planning mechanism is presented. The demo example shows a knowledge base for solving the problem of adapting cyberphysical systems using a cognitive planning mechanism.Materials and methods of research. New approaches and methods are required to address adaptation issues in planning. The cognitive approach is one of the developing directions in solving many problems of the Internet of things. One of these tasks is the ability to adapt OTS modules in a rapidly changing external environment based on the planning mechanism. To solve the planning problem, we use the algorithm described by Aristotle more than 2,350 years ago and implemented in the GPS program. This algorithm can be considered the first description of the cognitive mechanism that a person uses. The knowledge base uses an integrated approach to knowledge representation. When developing OTS modules, an agent-based approach was used to solve the problem of adaptation.Results. The existing and developing approaches and methods for decision support and decision-making are considered for decisionmaking in newly emerging situations in OTS modules. The main provisions of such significant approaches as situational, cognitive and semiotic are presented. A cognitive approach to the adaptation of intelligent systems is proposed. The solution of the problem of adaptation of cyberphysical systems is considered within the framework of the cognitive paradigm. The structure of a cyberphysical system capable of solving adaptation problems is shown. The functions of OTS modules based on agent-oriented technology are described. A description of the adaptation algorithm using the cognitive planning mechanism is given. The main stages of solving problems of adaptation of cyberphysical systems are presented. A demo example of solving the problem of adaptation by a cyberphysical system-a cooking robot – is shown.Conclusion. Using the modular architecture of an intelligent system allows you to solve many problems. One of these tasks is to configure elements of the Internet of things when they deviate from their main function. The planning mechanisms proposed for parametric adaptation can be repeatedly applied in OTS modules as separate agents. This approach is relevant for elements of the Internet of things. In the case of expanding the functionality of the OTS modules of Internet of things, it is advisable to apply machine learning with fixing the results in the knowledge base of planning agents.

scholarly journals TRUST MANAGEMENT OF COMMUNICATION ARCHITECTURES OF INTERNET OF THINGS

2019 ◽  
Vol 2019 (02) ◽  
pp. 121-130 ◽  
Author(s):  
Dr. Wang Haoxiang
Keyword(s):  
Internet Of Things ◽  
Information Exchange ◽  
Trust Management ◽  
The Internet ◽  
Trust System ◽  
Proposed Model ◽  
Communication Architectures ◽  
Block Chain ◽  
Seamless Connection ◽  
The Internet Of Things

The Internet of things is the basic paradigm with the cluster of techniques that ensure innovations in the service rendered in various applications. It aims to develop a seamless connection between the tangible objects around and the information network in turn to provide a well-structured servicing to its users. Though the IOT service seems to be promising, the risks still prevail in the form of privacy and the security in user acceptance in utilizing the internet of things services, and its application. This makes the trust management very important for the internet of things. So the paper puts forth the distributed block chain involved trust system to manage the conveyance infrastructures of the internet of things paradigm. The evaluation of the proposed model evinces the enhanced security provided for the nodes of the IOT as well as its information exchange.

Robust Decentralised Trust Management for the Internet of Things by Using Game Theory

2020 ◽  
Vol 57 (6) ◽  
pp. 102308 ◽  
Author(s):  
Christian Esposito ◽  
Oscar Tamburis ◽  
Xin Su ◽  
Chang Choi
Keyword(s):  
Game Theory ◽  
Internet Of Things ◽  
Trust Management ◽  
The Internet ◽  
The Internet Of Things

A WSN-Oriented Key Agreement Protocol in Internet of Things

2013 ◽  
Vol 401-403 ◽  
pp. 1792-1795 ◽  
Author(s):  
Tao Liu ◽  
Ya Wen Guan ◽  
Yi Qun Yan ◽  
Li Liu ◽  
Qi Chao Deng
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Key Agreement ◽  
Bilinear Pairing ◽  
Negotiation Process ◽  
Third Party ◽  
Security And Privacy ◽  
The Internet ◽  
Key Agreement Protocol ◽  
The Internet Of Things

Aimed to the security and privacy issues which restrict the construction and development of the Internet of Things, a WSN-oriented key agreement protocol in the Internet of Things ( IOT) has been proposed . Trust management was introduced the security mechanism of IOT, the use of bilinear pairing technology, the identity-based key agreement was realized. Using the protocol not only can effectively prevent attacks from outside the network and can recognize the abnormal nodes which were captured or lapsed efficacy. Thus it can reduce communication with abnormal nodes to improve network security, extending the lifetime of the network. The distributed self-organizing key negotiation process without credible third-party management can enhance the survivability of IOT, and the network has a good scalability.

A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT)

Computing ◽  
2018 ◽  
Vol 101 (7) ◽  
pp. 791-818 ◽  
Author(s):  
Mohammad Dahman Alshehri ◽  
Farookh Khadeer Hussain
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Security Protocol ◽  
The Internet ◽  
The Internet Of Things

Multi-Layer Agent Based Architecture for Internet of Things Systems

2018 ◽  
Vol 11 (4) ◽  
pp. 32-52 ◽  
Author(s):  
Kouah Sofia ◽  
Kitouni Ilham
Keyword(s):  
Internet Of Things ◽  
Operative Management ◽  
Local System ◽  
Physical World ◽  
The Internet ◽  
Agent Based ◽  
Global Management ◽  
The Third ◽  
System Diagnosis ◽  
The Internet Of Things

Nowadays, the Internet of things (IoT) is becoming a promising technology which revolutionizes and simplifies our daily life style. It allows interaction and cooperation between a large variety of pervasive objects over wireless and wired connections, in order to achieve specific goals. Moreover, it provides a concise integration of physical world into computer systems through network infrastructure. This paper provides an agent-based architecture for developing IoT systems. The proposed architecture is multi-layer and generic. It encompasses four layers: Physical Component Management, Local Management -Coordination, Global Management-Coordination and Specialized Operative Management Layers. The first one can be seen as a smart layer that ensures connection and communication between things and the system. The second one constitutes the intelligent core of the system which acts locally to ensure coordination and further internal functioning. The third layer ensures coordination between the local system and the externals ones. The last layer supports additional behaviors which are domain dependent. The architecture is illustrated by an IoT system diagnosis.

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