全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于神经网络和遗传算法的网络安全事件分析方法

DOI: 10.13190/j.jbupt.2015.02.008, PP. 50-54

Keywords: 网络安全事件分析,神经网络,遗传算法,关联规则

Full-Text   Cite this paper   Add to My Lib

Abstract:

传统网络安全事件分析方法较多依赖人工干预,针对该问题提出了一种具备更高自适应能力和自动化程度的网络安全事件分析方法,利用神经网络模型对多种异构事件源产生的数据进行分析,按照不同攻击场景自动分类,基于分类结果提取规则项,利用遗传算法自动生成针对不同攻击场景的关联规则.实验结果表明,该方法可自动完成事件分类和关联规则生成,是对传统方法的有效增强和改进.

References

[1]  Valdes A, Skinner K. Probabilistic alert correlation[C]//Proceedings of the 4th International Symposium on Recent Advances in Intrusion Detection. London, UK: Springer, 2001: 54-68.
[2]  Ning Peng, Cui Yun, Reeves D S. Constructing attack scenarios through correlation of intrusion alerts[C]//Proceedings of the 9th ACM Conference on Computer and Communications Security. New York, US: ACM, 2002: 245-254.
[3]  Noel S, Robertson E, Jajodia S. Correlating intrusion event sand building attack scenarios through attack graphdistances[C]//Proceedings of 20th Annual Computer Security Applications Conference. Tucson, AZ, US: IEEE Press, 2004: 350-359.
[4]  Wang Lingyu, Liu Anyi, Jajodia S. Using attack graphs for correlating, hypothesizing, and predicting intrusionalerts[J]. Computer Communications, 2006, 29(15): 2917-2933.
[5]  Ahmadinejad S, Jalili S, Abadi M. Ahybrid model for correlating alerts of known and unknown attack scenarios and updating attack graphs[J]. Computer Networks, 2011, 55(9): 2221-2240.
[6]  Anbarestani R, Akbari B, Fathi F. An iterative alert correlation method for extracting network intrusion scenarios[C]//Proceedings of 20th Iranian Conference on Electrical Engineering. Tehran: IEEE Press, 2012: 684-689.
[7]  Wang C, Yang Jimin. Adaptive feature-weighted alert correlation system applicable in cloud environment[C]//Proceedings of 8th Asia Joint Conference on Information Security. Seoul: IEEE Press, 2013: 41-47.
[8]  John Burnham. Magic quadrant for security information and event management[EB/OL]. Rosten, VA, USA: Internet Society, 2014[2014-06-24].

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133