Intrusion Detection for WiFi Network: A Deep Learning Approach-Reference-Cited by-同舟云学术

Intrusion Detection for WiFi Network: A Deep Learning Approach

Published:2019 Issue: Volume: Page:95-104
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Wang Shaoqian,Li Bo,Yang Mao,Yan Zhongjiang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-06158-6_10

Reference10 articles.

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3. Kolias, C., Kambourakis, G., Stavrou, A., et al.: Intrusion detection in 802.11 networks: empirical evaluation of threats and a public dataset [J]. IEEE Commun. Surv. Tutor. 18(1), 184–208 (2016)

4. Aminanto, M.E., Choi, R., Tanuwidjaja, H.C., et al.: Deep abstraction and weighted feature selection for Wi-Fi impersonation detection [J]. IEEE Trans. Inf. Forensics Secur. PP(99), 1–1 (2018)

5. Aminanto, M.E., Tanuwidjaja, H.C., Yoo, P.D., et al.: Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier [C]. In: International Workshop on Big Data and Information Security, pp. 99–104 (2018)

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