Mobile Multi-agent Systems for the Internet-of-Things and Clouds Using the JavaScript Agent Machine Platform and Machine Learning as a Service

2016 ◽  
Author(s):  
Stefan Bosse
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
The Internet ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
The Internet Of Things

scholarly journals Trust Model of Information Security of the Environment of Multi-Agent Robotic Systems

2020 ◽  
pp. 23-31
Author(s):  
Andrey Stepenkin ◽  
Keyword(s):  
Internet Of Things ◽  
Trust Model ◽  
Cyber Physical Systems ◽  
Robotic Systems ◽  
The Internet ◽  
Multi Agent Systems ◽  
Physical Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
The Internet Of Things

The capabilities of robotic systems are growing rapidly. The ways of operating such systems are increasing every day. Sensor networks, the Internet of Things, cyber-physical systems have similar properties as multi-agent robotic systems, which allows us to consider the approaches and methods of ensuring security used in them. Purpose of the article: improving the security of multi-agent systems in an uncontrolled environment, developing methods for assessing trust of the environment. Research methods: analysis of existing threat models for multi-agent robotic systems, as well as systems with similar properties: cyber-physical systems and the Internet of things. Analysis of the research results of existing approaches to ensuring the security of multi-agent systems. The results: an analysis of security threats and existing methods of ensuring security for robotic multi-agent systems, as well as systems with similar properties, was carried out. An extension for security methods based on trust and reputation has been developed, taking into account the operating environment of the system as part of information interaction. A method for localizing the subject of an external intruder in the environment is proposed.

scholarly journals COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment

2020 ◽  
Vol 34 (05) ◽  
pp. 7317-7324
Author(s):  
Leonit Zeynalvand ◽  
Tie Luo ◽  
Jie Zhang
Keyword(s):  
Large Scale ◽  
Service Providers ◽  
Reputation Management ◽  
The Internet ◽  
Context Aware ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Trust And Reputation ◽  
Multi Agent ◽  
The Internet Of Things

Trust and reputation management (TRM) plays an increasingly important role in large-scale online environments such as multi-agent systems (MAS) and the Internet of Things (IoT). One main objective of TRM is to achieve accurate trust assessment of entities such as agents or IoT service providers. However, this encounters an accuracy-privacy dilemma as we identify in this paper, and we propose a framework called Context-aware Bernoulli Neural Network based

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

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