Abstract
Maybe you are for hackers or more network security events concerned, thus will increasingly sophisticated hacking techniques as focus on the object, but at the same time, you may need to pay attention to the business behind the operating personnel problems, these problems may be a real threat, and the use of machine learning and artificial intelligence to solve the problems of network security, is the development trend of the present. This paper introduces the necessity of the development of network security technology and the application of artificial intelligence (AI) in solving some problems. This paper also gives a brief overview of some recent advances in network security technology of artificial intelligence and thus looks forward to the application prospect of artificial intelligence in the field of network security (ABI Research in Machine Learning in Cybersecurity to Boost Big Data, Intelligence, and Analytics Spending to $96 Billion by 2021, 2018) [1].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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
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)
Darktrace: Technology. Retrieved March 15, 2018, from https://www.darktrace.com/technology (n.d.)
Honkela, T.: Multimodally Grounded Translation. Retrieved March 20, 2018, from http://lodel.irevues.inist.fr/tralogy/index.php?id=259&format=print (2011)
Kanal, E.: Machine Learning in Cybersecurity. Carnegie Mellon University, Software Engineering Institute. Retrieved March 9, 2018 from https://insights.sei.cmu.edu/sei_blog/2017/06/machine-learning-in-cybersecurity.html (2017, January)
Machine Learning Techniques Applied to Cyber Security: Retrieved March 18, 2018, from https://towardsdatascience.com/machine-learning-techniquesapplied-to-cyber-security-d58a8995b7d7 (2017, September 10)
Marty, R.: AI and Machine Learning in Cyber Security—Towards Data Science. Retrieved March 16, 2018, from https://towardsdatascience.com/ai-andmachine-learning-in-cyber-security-d6fbee480af0 (2018, January 01)
Marty, R.: AI in Cybersecurity: Where We Stand & Where We Need to Go. Retrieved March 12, 2018, from https://www.darkreading.com/threatintelligence/ai-in-cybersecurity-where-we-stand-and-where-we-need-to-go/a/did/1330787 (2018, January 11)
McHugh, J.: Testing intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln Laboratory. ACM Trans. Inf. Syst. Secur. (TISSEC) 3(4), 262–294. Retrieved March 12, 2018 (2000)
Fund Project No:
2015KTSCX176, CJ201804SYJG201803, SYJG201803.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chen, L., Yi, Z., Chen, X. (2020). Research on Network Security Technology Based on Artificial Intelligence. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_87
Download citation
DOI: https://doi.org/10.1007/978-981-13-9406-5_87
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9405-8
Online ISBN: 978-981-13-9406-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)