Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments

The increasing number of connected devices and the complexity of Internet of Things (IoT) ecosystems are demanding new architectures for managing and securing these networked environments. Intrusion Detection Systems (IDS) are security solutions that help to detect and mitigate the threats that IoT...

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Bibliographic Details
Published in:The Journal of supercomputing 2021-11, Vol.77 (11), p.13046-13068
Main Authors: Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, García-Rodríguez, Isaías
Format: Article
Language:English
Subjects:
Comparative studies
Compilers
Computer Science
Debugging
Graphical user interface
Internet of Things
Interpreters
Middleware
Multiagent systems
Processor Architectures
Programming Languages
Security
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Summary:The increasing number of connected devices and the complexity of Internet of Things (IoT) ecosystems are demanding new architectures for managing and securing these networked environments. Intrusion Detection Systems (IDS) are security solutions that help to detect and mitigate the threats that IoT systems face, but there is a need for new IDS strategies and architectures. This paper describes a development environment that allows the programming and debugging of distributed, rule-based multi-agent IDS solutions. The proposed solution consists in the integration of a rule engine into the agent, the use of a specialized, wrapping agent class with a graphical user interface for programming and debugging purposes, and a mechanism for the incremental composition of behaviors. A comparative study and an example IDS are used to test and show the suitability and validity of the approach. The JADE multi-agent middleware has been used for the practical implementations.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-021-03797-2