A discovery strategy for APT anomaly based on homologous behavior analysis

As APT(advanced persistent threat)attacks are increasingly frequently,higher requirements for the detection of APT attacks were proposed.It was an effective method to early discover the attack behavior of APT based on homologous behavior analysis.Aiming at the problem of low efficiency of data authe...

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Main Authors: Yihan YU, Yu FU, Xiaoping WU, Hongcheng LI
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-01-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016012/
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author Yihan YU
Yu FU
Xiaoping WU
Hongcheng LI
author_facet Yihan YU
Yu FU
Xiaoping WU
Hongcheng LI
author_sort Yihan YU
collection DOAJ
description As APT(advanced persistent threat)attacks are increasingly frequently,higher requirements for the detection of APT attacks were proposed.It was an effective method to early discover the attack behavior of APT based on homologous behavior analysis.Aiming at the problem of low efficiency of data authentication caused by excessive data,the historical behavior database with data label technology was established and the database was stored in the cloud.Relying on the Hadoop platform and the aggregate computing ability of MapReduce and the pseudorandom permutation technique,the whole traffic parallel detection of the network was realized.In order to determine whether there was a APT attack behavior,the detection of APT attacks was implemented by comparing the data labels in the database.Test results show that the proposed method can detect the abnormal behavior of APT from the network as soon as possibleand improve the efficiency of the whole data flow detection.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2016-01-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-bd061969ec384546b8df372b22a401f92025-01-15T03:15:33ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-01-0132828759610828A discovery strategy for APT anomaly based on homologous behavior analysisYihan YUYu FUXiaoping WUHongcheng LIAs APT(advanced persistent threat)attacks are increasingly frequently,higher requirements for the detection of APT attacks were proposed.It was an effective method to early discover the attack behavior of APT based on homologous behavior analysis.Aiming at the problem of low efficiency of data authentication caused by excessive data,the historical behavior database with data label technology was established and the database was stored in the cloud.Relying on the Hadoop platform and the aggregate computing ability of MapReduce and the pseudorandom permutation technique,the whole traffic parallel detection of the network was realized.In order to determine whether there was a APT attack behavior,the detection of APT attacks was implemented by comparing the data labels in the database.Test results show that the proposed method can detect the abnormal behavior of APT from the network as soon as possibleand improve the efficiency of the whole data flow detection.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016012/APT defensehomologous strategyreal-time detectiondata labelpseudorandom permutation
spellingShingle Yihan YU
Yu FU
Xiaoping WU
Hongcheng LI
A discovery strategy for APT anomaly based on homologous behavior analysis
Dianxin kexue
APT defense
homologous strategy
real-time detection
data label
pseudorandom permutation
title A discovery strategy for APT anomaly based on homologous behavior analysis
title_full A discovery strategy for APT anomaly based on homologous behavior analysis
title_fullStr A discovery strategy for APT anomaly based on homologous behavior analysis
title_full_unstemmed A discovery strategy for APT anomaly based on homologous behavior analysis
title_short A discovery strategy for APT anomaly based on homologous behavior analysis
title_sort discovery strategy for apt anomaly based on homologous behavior analysis
topic APT defense
homologous strategy
real-time detection
data label
pseudorandom permutation
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016012/
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AT hongchengli adiscoverystrategyforaptanomalybasedonhomologousbehavioranalysis
AT yihanyu discoverystrategyforaptanomalybasedonhomologousbehavioranalysis
AT yufu discoverystrategyforaptanomalybasedonhomologousbehavioranalysis
AT xiaopingwu discoverystrategyforaptanomalybasedonhomologousbehavioranalysis
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