Simulation of watchdog placement for cooperative anomaly detection in Bluetooth Mesh Intrusion Detection System
Open accessAbstract
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as IoT technologies are literally connecting everything into networks. In 2020 more than 25% of identified attacks in enterprises will involve the IoT. Hence, it is very important to treat IoT security as a mandatory design factor. Moreover the deployed IoT system should be continuously monitored to detect malicious behaviour such as packet dropping, worm propagation or jammer attacks. In the paper we propose the anomaly based Intrusion Detection System dedicated to Bluetooth Mesh networks. The machine learning algorithm is used to classify traffic and detect malicious behaviour in IoT networks. The proposed solution involve cooperative decision making which is done by multiple watchdogs distributed in different regions of the considered network – which are responsible for processing of mostly local traffic. The optimal placement of watchdogs is proposed based on simulations done by BMWatchSim software. The experimental results coming from our testbed confirm that the watchdog placement proposed by simulator allow on effective detection of real-world intrusions.
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A technique was suggested by Qingtao et al. for identifying network irregularities by analyzing sudden changes in time series data.
“A technique was suggested by Qingtao et al. [131] for identifying network irregularities by analyzing sudden changes in time series data.”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [131]
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- Authors
- Krzysztoń, M., & Marks, M.
- Affiliations
- NASK National Research Institute (PL)
- Corresponding author
- Krzysztoń, Mateusz
- Venue
- Simulation Modelling Practice and Theory
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 101
- Pages
- 102041
- ISSN
- 1569-190X (ISSN-L)
- OpenAlex
- W2995173428
- Cited by
- 25
- References
- 34
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 6 · 2022: 8 · 2021: 5 · 2020: 4
- FWCI
- 2.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Simulation Modelling Practice and Theory (publishedVersion, cc-by-nc-nd)
- Funders
- Narodowe Centrum Badań i Rozwoju (CYBERSECIDENT/369195/I/NCBR/2017)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Computer Networks and Communications › Bluetooth and Wireless Communication Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Keywords
- Bluetooth Mesh, intrusion detection, anomaly detection, Internet of Things security, cooperative decision-making, malicious traffic detection, jamming attacks, worm propagation, packet dropping, network traffic classification
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