Research on Network Security Technology Based on Artificial Intelligence-Reference-Cited by-同舟云学术

Research on Network Security Technology Based on Artificial Intelligence

Published:2019-10-02 Issue: Volume: Page:729-735
ISSN:2194-5357
Container-title:Recent Trends in Intelligent Computing, Communication and Devices
language:
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Author:

Chen Lijun,Yi Zhang,Chen Xiaoru

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9406-5_87

Reference10 articles.

1. ABI Research: Machine Learning in Cybersecurity to Boost Big Data, Intelligence, and Analytics Spending to $96 Billion by 2021. Retrieved March 24, 2018, from https://www.abiresearch.com/press/machine-earning-cybersecurity-boostbig-data-inte/ (2017, January 30)

2. Alghamdi, R.: Hidden Markov Models (HMMs) and security applications. Int. J. Adv. Comput. Sci. Appl. 7(2) (2016). https://doi.org/10.14569/ijacsa.2016.070205

3. Crosby, S.: Separating fact from fiction: the role of artificial intelligence in cybersecurity. Retrieved March 16, 2018, from https://www.forbes.com/sites/forbestechcouncil/2017/08/21/separating-fact-fromfiction-the-role-of-artificial-intelligence-in-cybersecurity/2/#47045fb329bc (2017, August 21)

4. Darktrace: Technology. Retrieved March 15, 2018, from https://www.darktrace.com/technology (n.d.)

5. Honkela, T.: Multimodally Grounded Translation. Retrieved March 20, 2018, from http://lodel.irevues.inist.fr/tralogy/index.php?id=259&format=print (2011)

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1. The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges;Artificial Intelligence Review;2022-02-04

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