dc.contributor.author |
Masengo Wa Umba, S
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dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.contributor.author |
Ramotsoela, TD
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dc.contributor.author |
Hancke, GP
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dc.date.accessioned |
2019-10-17T08:46:06Z |
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dc.date.available |
2019-10-17T08:46:06Z |
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dc.date.issued |
2019-06 |
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dc.identifier.citation |
Masengo Wa Umba, S. et al. 2019. A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network. In: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), Vancouver, BC, Canada, 12-14 June 2019 |
en_US |
dc.identifier.isbn |
978-1-7281-3666-0 978-1-7281-3667-7 |
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dc.identifier.isbn |
978-1-7281-3666-0 |
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dc.identifier.uri |
https://ieeexplore.ieee.org/abstract/document/8781458
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dc.identifier.uri |
DOI: 10.1109/ISIE.2019.8781458
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|
dc.identifier.uri |
http://hdl.handle.net/10204/11174
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|
dc.description |
Presented at: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), Vancouver, BC, Canada, 12-14 June 2019. Copyright: 2019 SPIE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.abstract |
Wireless communications and Wireless Sensor Networks (WSNs) are intensively used in manufacturing industries, in medical devices, for the determination of the position and for the guidance of military drones and bombs. Given the scope of utilization of WSNs, the security of wireless communications is a very critical problem that must be tackled accordingly. A Software-Defined Wireless Sensor Network (SDWSN) is realized by infusing a Software Defined Network (SDN) model in a WSN. In this paper, the cryptography schemes as well as the security threats related to SDWSNs are identified and the Artificial Intelligence (AI) techniques used to detect intrusions in SDWSNs are presented. It is shown that a two-level security model combining cryptography schemes and AI techniques can be used to fight malicious attacks against SDWSNs. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow;22656 |
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dc.subject |
Artificial Intelligence |
en_US |
dc.subject |
Intrusion detection |
en_US |
dc.subject |
Software-Defined Wireless Sensor Network |
en_US |
dc.subject |
Wireless Sensor Networks |
en_US |
dc.title |
A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Masengo Wa Umba, S., Abu-Mahfouz, A. M., Ramotsoela, T., & Hancke, G. (2019). A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network. IEEE. http://hdl.handle.net/10204/11174 |
en_ZA |
dc.identifier.chicagocitation |
Masengo Wa Umba, S, Adnan MI Abu-Mahfouz, TD Ramotsoela, and GP Hancke. "A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network." (2019): http://hdl.handle.net/10204/11174 |
en_ZA |
dc.identifier.vancouvercitation |
Masengo Wa Umba S, Abu-Mahfouz AM, Ramotsoela T, Hancke G, A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network; IEEE; 2019. http://hdl.handle.net/10204/11174 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Masengo Wa Umba, S
AU - Abu-Mahfouz, Adnan MI
AU - Ramotsoela, TD
AU - Hancke, GP
AB - Wireless communications and Wireless Sensor Networks (WSNs) are intensively used in manufacturing industries, in medical devices, for the determination of the position and for the guidance of military drones and bombs. Given the scope of utilization of WSNs, the security of wireless communications is a very critical problem that must be tackled accordingly. A Software-Defined Wireless Sensor Network (SDWSN) is realized by infusing a Software Defined Network (SDN) model in a WSN. In this paper, the cryptography schemes as well as the security threats related to SDWSNs are identified and the Artificial Intelligence (AI) techniques used to detect intrusions in SDWSNs are presented. It is shown that a two-level security model combining cryptography schemes and AI techniques can be used to fight malicious attacks against SDWSNs.
DA - 2019-06
DB - ResearchSpace
DP - CSIR
KW - Artificial Intelligence
KW - Intrusion detection
KW - Software-Defined Wireless Sensor Network
KW - Wireless Sensor Networks
LK - https://researchspace.csir.co.za
PY - 2019
SM - 978-1-7281-3666-0 978-1-7281-3667-7
SM - 978-1-7281-3666-0
T1 - A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network
TI - A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network
UR - http://hdl.handle.net/10204/11174
ER -
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en_ZA |