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Effective Contract-Net-Based Intrusion Detection Using Intelligent Agent-Based Systems

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Computational Intelligence and Mathematics for Tackling Complex Problems 5

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1127))

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Abstract

Intrusion detection is an important task, many times extremely difficult, related to the security policies of an organization that uses digital data and information distributed networks. Intrusion Detection Systems (IDSs) should monitor network traffic and user activity at the same time, to detect malicious traffic and abnormal activity. In this paper, we propose an intelligent agent security approach for adopting IDSs in a distributed computational network-based environment. The solution is a decentralized, agent-based IDS that allocates tasks to knowledge-based agents for collecting, analyzing, and delivering at the same time data needed for identifying threats and for doing effective actions. The advantages of this approach are: scalability, handling increased load and network latency, and no single point of failure.

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Acknowledgements

This work was developed in the framework of the COST Action. CA17124—Digital forensics: evidence analysis via intelligent systems and practices (DigForASP).

Additional support for the research was assured by CHIST-ERA programme supported through the ERA-NET Cofund funding scheme under the grant agreements, title: Social Network of Machines (SOON), grant of the Romanian National Authority for Scientific Research and Innovation, CCCDI-UEFISCDI, number 101/2019, COFUND-CHIST-ERA-SOON, within PNCDI III. We acknowledge the support offered by the Research Center on Artificial Intelligence, Data Science, and Smart Engineering (ARTEMIS).

Author information

Authors and Affiliations

  1. George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mureş, 540142, Targu Mureş, Romania

    Laszlo Barna Iantovics & Bogdan Crainicu

  2. University of Miskolc, Miskolc, Hungary

    Olivér Hornyák

  3. Vasile Alecsandri University of Bacău, Bacău, Romania

    Gloria Cerasela Crișan & Elena Nechita

Authors
  1. Laszlo Barna Iantovics
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  2. Olivér Hornyák
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  3. Gloria Cerasela Crișan
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  4. Bogdan Crainicu
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  5. Elena Nechita
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Corresponding author

Correspondence to Laszlo Barna Iantovics .

Editor information

Editors and Affiliations

  1. Department of Mathematics, University of Cádiz, Cádiz, Spain

    M.Eugenia Cornejo

  2. Faculty of Engineering Sciences, Széchenyi István University, Gyõr, Hungary

    László T. Kóczy

  3. Department of Mathematics, Faculty of Science, University of Cádiz, Cádiz, Spain

    Jesús Medina

  4. Department of Mathematics, University of Cádiz, Cádiz, Spain

    Eloísa Ramírez-Poussa

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Iantovics, L.B., Hornyák, O., Crișan, G.C., Crainicu, B., Nechita, E. (2024). Effective Contract-Net-Based Intrusion Detection Using Intelligent Agent-Based Systems. In: Cornejo, M., Kóczy, L.T., Medina, J., Ramírez-Poussa, E. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems 5. Studies in Computational Intelligence, vol 1127. Springer, Cham. https://doi.org/10.1007/978-3-031-46979-4_18

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