The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Denial-of-Service detection in 6LoWPAN based Internet of Things
Abstract
Smart objects connected to the Internet, constituting the so called Internet of Things (IoT), are revolutionizing human beings' interaction with the world. As technology reaches everywhere, anyone can misuse it, and it is always essential to secure it. In this work we present a denial-of-service (DoS) detection architecture for 6LoWPAN, the standard protocol designed by IETF as an adaptation layer for low-power lossy networks enabling low-power devices to communicate with the Internet. The proposed architecture integrates an intrusion detection system (IDS) into the network framework developed within the EU FP7 project ebbits. The aim is to detect DoS attacks based on 6LoWPAN. In order to evaluate the performance of the proposed architecture, preliminary implementation was completed and tested against a real DoS attack using a penetration testing system. The paper concludes with the related results proving to be successful in detecting DoS attacks on 6LoWPAN. Further, extending the IDS could lead to detect more complex attacks on 6LoWPAN.
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Citations
Cites
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605 · cited 2×
“Some possible vulnerabilities are SYN flood, protocol parsing, processing URI, proxying and caching, risk of amplification, IP address spoofing attack, cross-protocol attacks [13].”
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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
Network Intrusion Detection for IoT Security Based on Learning Techniques
Chaabouni, N., Mosbah, M., Zemmari, A., Sauvignac, C., & Faruki, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2896380 · Cited by 940
Asharf, J., Moustafa, N., Khurshid, H., Debie, E., Haider, W., & Wahab, A. (2020) · Electronics · doi:10.3390/electronics9071177 · Cited by 378
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
Thamilarasu, G., & Chawla, S. (2019) · Sensors · doi:10.3390/s19091977 · Cited by 303
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Metadata
- Authors
- Kasinathan, P., Pastrone, C., Spirito, M. A., & Vinkovits, M.
- Venue
- 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
- Publisher
- IEEE
- Published
- 2013-10
- Pages
- 600-607
- OpenAlex
- W2025743285
- Cited by
- 320
- References
- 1
- FWCI
- 7.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kasinathan, P., Pastrone, C., Spirito, M. A., & Vinkovits, M. (2013). Denial-of-Service detection in 6LoWPAN based Internet of Things. 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). https://doi.org/10.1109/wimob.2013.6673419
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