[1]付强,甘亮,李爱平,等.一种基于主成分分析算法的网络异常检测实现[J].南京师范大学学报(工程技术版),2008,08(04):013-16.
　Fu Qiang,Gan Liang,Li Aiping,et al.Implementation of Adapting Aglorithm of Anomalies Detection Based on PCA[J].Journal of Nanjing Normal University(Engineering and Technology),2008,08(04):013-16.
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一种基于主成分分析算法的网络异常检测实现
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
08卷
期数:
2008年04期
页码:
013-16
栏目:
出版日期:
2008-12-30

文章信息/Info

Title:
Implementation of Adapting Aglorithm of Anomalies Detection Based on PCA
作者:
付强;甘亮;李爱平;吴泉源;
国防科学技术大学计算机学院, 湖南长沙410073
Author(s):
Fu Qiang; Gan Liang; Li Aiping; Wu Quanyuan
School of Computer Science,National University of Defense Technology,Changsha 410073,China
关键词:
网络异常;  PCA;  自适应算法
Keywords:
network anom a ly;  PCA;  adap ting ag lo rithm
分类号:
TP393.08
摘要:
针对分布式网络的网络异常检测,提出一种多维数据特征自适应的异常检测算法,算法在主成分分析算法(PCA)的基础上进行异常特征自适应修正.在对网络流量数据经过了PCA处理后,确定贡献率高的维度,给出异常与维度特征的关联,进行特征自适应修正.实验结果表明,算法降低了网络异常检测的执行开销,提高了网络异常检测的报警精度.
Abstract:
A im ing a t the ne tw ork anoma ly detection of distributed ne tw orks, the paper suggests am ultid im ensiona l adapting algor ithm o f anom a lies detection. The a lgor ithm, based on PCA, can change itse lf automa tica lly fo r new anom a ly. H av ing processed netwo rk flow data by PCA algor ithm s, w e can g et the d im ensions w hich contribute most and g ive the re lation be tw een anom alies and d im ensions, and m ake se l-f adaption of features. The exper im enta l results show tha t the a lgo rithm reduces the co st o f netwo rk anom a ly detection, and improves the alert precision of netw ork anom aly de tection

参考文献/References:

[ 1] H uang Ling, Nguye Xuan long, M inos Garofa lak is, et a.l Comm un ication-e fficient on line de tection o f netw ork-w ide anom aliesk
[ C] / / Proceedings o f the 26th IEEE In ternational Conference on Com puter Comm un ica tions. Ancho rage, AK: IEEE Com puter Soc iety Press, 2007: 134-142.
[ 2] Li Xiao le,i H an Jiaw e.i M in ing approx im ate Top-K subspace anom a lies in m ultidim ensiona l tim eser ies data[ C] / / Proceed ing  o f the 33rd Internationa l Con ference on Very Large Data Bases. V ienna, Austria: VLDB Endowm ent, 2007: 447-458.
[ 3] L iX in, B ian Fang, C rove llaM ark, et a.l Detection and identification o f netwo rk anom a lies using sketch subspaces[ C] / / Proceedings of the 6th ACM S IGCOMM Conference on Interne tM easurem ent. N ew Yrok, USA: ACM, 2006: 147-152.

备注/Memo

备注/Memo:
基金项目: 国家“ 863”计划( 2007AA01Z474、2006AA01Z451和2007AA010502)资助项目.
通讯联系人: 吴泉源, 教授, 博士生导师, 研究方向: 人工智能和网络安全. E-m ail: quanyuqn- wu@ l ive. cn
更新日期/Last Update: 2013-04-24