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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Collaborative agent-based detection of DDoS IoT botnets

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Author
Giachoudis N., Damiris G.-P., Theodoridis G., Spathoulas G.
Date
2019
Language
en
DOI
10.1109/DCOSS.2019.00055
Keyword
Agents
Botnet
Denial-of-service attack
Distributed computer systems
Error detection
Multi agent systems
Network security
Botnets
Collaborative agents
Computing infrastructures
Ddos
Distributed denial of service attack
Distributed multiagent systems
Hardware and software
Security
Internet of things
Institute of Electrical and Electronics Engineers Inc.
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Abstract
The Internet of Things constitutes the latest paradigm shift in computing. Billions of devices sense the real world and store produced data in the cloud. Existing security models, approaches and solutions are not able to sufficiently protect modern computing infrastructures, consisting of numerous low power devices that are characterized by high diversity in both hardware and software. In this paper a new approach to IoT security, based on a distributed multi-agent system is presented. We use a lightweight agent in each one of multiple IoT installations (e.g. smarthomes), in order to collaboratively detect security events and prevent probable attacks. A simulation is conducted in order to evaluate the performance of the proposed methodology. In particular the methodology is used to minimize the effects of distributed denial of service attacks, conducted by the use of IoT devices botnets, such as the mirai botnet attacks, spotted recently. © 2019 IEEE.
URI
http://hdl.handle.net/11615/72261
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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