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A Specification-Based IDS for Detecting Attacks on RPL-Based Network Topology
Open accessAbstract
Routing Protocol for Low power and Lossy network (RPL) topology attacks can downgrade the network performance significantly by disrupting the optimal protocol structure. To detect such threats, we propose a RPL-specification, obtained by a semi-auto profiling technique that constructs a high-level abstract of operations through network simulation traces, to use as reference for verifying the node behaviors. This specification, including all the legitimate protocol states and transitions with corresponding statistics, will be implemented as a set of rules in the intrusion detection agents, in the form of the cluster heads propagated to monitor the whole network. In order to save resources, we set the cluster members to report related information about itself and other neighbors to the cluster head instead of making the head overhearing all the communication. As a result, information about a cluster member will be reported by different neighbors, which allow the cluster head to do cross-check. We propose to record the sequence in RPL Information Object (DIO) and Information Solicitation (DIS) messages to eliminate the synchronized issue created by the delay in transmitting the report, in which the cluster head only does cross-check on information that come from sources with the same sequence. Simulation results show that the proposed Intrusion Detection System (IDS) has a high accuracy rate in detecting RPL topology attacks, while only creating insignificant overhead (about 6.3%) that enable its scalability in large-scale network.
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Cited by
A survey of intrusion detection in Internet of Things
Zarpelão, B. B., Miani, R. S., Kawakani, C. T., & de Alvarenga, S. C. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.02.009 · Cited by 1,022
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
Thamilarasu, G., & Chawla, S. (2019) · Sensors · doi:10.3390/s19091977 · Cited by 303
Hybrid intrusion detection system for edge-based IIoT relying on machine-learning-aided detection
Yao, H., Gao, P., Zhang, P., Wang, J., Jiang, C., & Lu, L. (2019) · IEEE Network · doi:10.1109/mnet.001.1800479 · Cited by 113
Metadata
- Authors
- Le, A., Loo, J., Chai, K., & Aiash, M.
- Venue
- Information
- Publisher
- MDPI AG
- Published
- 2016-05-12
- Volume
- 7
- Issue
- 2
- Pages
- 25
- ISSN
- 2078-2489 (ISSN-L)
- OpenAlex
- W2370696599
- Cited by
- 205
- References
- 0
- FWCI
- 18.00
- Type
- journal article
- Language
- en
- Open access
- gold
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- Le, A., Loo, J., Chai, K., & Aiash, M. (2016). A Specification-Based IDS for Detecting Attacks on RPL-Based Network Topology. Information. https://doi.org/10.3390/info7020025
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