Abstract
Dynamics and complexity of the Internet security environment make that real-time and dynamic auditing of network behavior security is more difficult. For the resolution of difficulties on dynamics and complexity in the network behavior audit, an architecture of real-time and dynamic audit for network behavior security under the Internet environment is created. The proposed architecture consists of pretreating network behavior data, synchronizing network data, dynamically recognizing network behavior and comprehensively auditing network behavior security. Pretreating network behavior data solves the problems of the integrity of network behavior data to be treated and the scientific modeling of network behaviors. Synchronizing network data solves the problem of real-time treating of network behavior data. Dynamically recognizing network behavior uses and simulates immune mechanisms to realize the dynamic auditing for network behavior security. Comprehensively auditing network behavior security solves the problem of direct service of audit results of network behavior security for the network security management. The proposed architecture is expected to provide a new reference for the establishment of active network security management model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, H.: Research of Network Security Auditing System. Thesis of Jilin University (2006)
Liu, Z., Wang, X., Li, J., Zhang, S.: Research on an integrated security audit system model. Police Technol. 2014(B06), 32–35 (2014)
Wei, Y., Lian, Y.: A network security situational awareness model based on log audit and performance correction. Chin. J. Comput. 32(4), 763–772 (2009)
Haggerty, J., Hughes-Roberts, T.: Visualization of system log files for post-incident analysis and response. In: Human Aspects of Information Security, Privacy, and Trust. HAS 2014. LNCS, vol. 8533, pp. 23-32 (2014)
Standing Committee of the National People’s Congress of China. People’s Republic of China Network Security Law. Issued on November 7 (2016)
Yang, Y.: The Enlightenment of Network Security Audit of American Audit Office. Audit Monthly (2018)
Zhang, H., Fang, B., Hu, M., Jiang, Y., Zhan, C., Zhang, S.: A survey on internet measurement and analysis. J. Softw. 14(1), 110–116 (2003)
Wang, J., Wu, J.: Internet Network Ethology. http://wenku.baidu.com/link?url=6LXb8IWY7WaAs1vDc7jGAz0XRjqpjuV2diRnwz0MZEW45vcLHcbtCm6bJ62IDZtxJsloZRm0RkH8he_FkerBgEYAAdL0HmVyHbcQCwNlx1O
De Castro, L., Timmis, J.: Artificial Immune Systems: A Novel Computational Intelligence approach. Springer, London (2002)
Li, T.: An immune based dynamic intrusion detection model. Sci. Bull. 50(22), 2650–2657 (2005)
Farmer, J., Packard, N., Perelson, A.: The immune system, adaptation, and machine learning. Physica 22D, 187–204 (1986)
Acknowledgement
This work is supported by Sichuan Science and Technology Program (No. 2018JY0523), the Scientific Research Fund of Sichuan Provincial Education Department (No. 18ZA0233), the Scientific Research Project of Leshan Normal University (No. ZZ201825).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, Y., Liu, C. (2020). Architecture of Real-Time and Dynamic Audit for Network Behavior Security. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_59
Download citation
DOI: https://doi.org/10.1007/978-3-030-32456-8_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32455-1
Online ISBN: 978-3-030-32456-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)