Improving the state of materials in cybersecurity attack detection in 5G wireless systems using machine learning

Author:

Sumathy S.,Revathy M.,Manikandan R.

Publisher

Elsevier BV

Subject

General Medicine

Reference24 articles.

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3. M. Demirbas and Y. Song, “An RSSI-based scheme for sybil attack detection in wireless sensor networks,” in Proceedings of the WoWMoM 2006: 2006 International Symposium on a World of Wireless, Mobile Multimed. Networ., pp. 564–568, June 2006.

4. M. Demirbas and Y. Song, “An RSSI-based scheme for sybil attack detection in wireless sensor networks,” in Proceedings of the WoWMoM 2006: 2006 International Symposium on a World of Wireless, Mobile Multimed. Network., pp. 564–568, June 2006.

5. D. B. Faria and D. R. Cheriton, “Detecting identity-based attacks in wireless networks using signalprints,” in Proceedings of the ACM Workshop on Wireless Security, pp. 43–52, Los Angeles, Calif, USA, 2006.

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