GHSOM intrusion detection based on Dempster-Shafer theory
On the basis of incremental GHSOM,the GHSOM neural network intrusion detection based on the theory of evidence reasoning method was put forward.It can deal with the uncertainty caused by randomness and fuzziness,as well as can constantly narrowing assumptions set by accumulate the evidence,effective...
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Editorial Department of Journal on Communications
2015-11-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015282/ |
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author | Jie SU Wei-wei DONG Xuan XU Shuai LIU Li-peng XIE |
author_facet | Jie SU Wei-wei DONG Xuan XU Shuai LIU Li-peng XIE |
author_sort | Jie SU |
collection | DOAJ |
description | On the basis of incremental GHSOM,the GHSOM neural network intrusion detection based on the theory of evidence reasoning method was put forward.It can deal with the uncertainty caused by randomness and fuzziness,as well as can constantly narrowing assumptions set by accumulate the evidence,effectively control dynamic growth of network and keep a good accuracy in noise environment.Experiments show that GHSOM intrusion detection method based on the Dempster Shafer theory realized the dynamic control for the scale of expended subnet during the process of detection.It has the better detection accuracy in the noise environment and improves the adaptability and extensibility of incremental GHSOM neural network intrusion detection method when the scale of network is expanded. |
format | Article |
id | doaj-art-634b076edf9341749aab33c0824c1dcf |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2015-11-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-634b076edf9341749aab33c0824c1dcf2025-01-14T06:54:18ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-11-0136606459697573GHSOM intrusion detection based on Dempster-Shafer theoryJie SUWei-wei DONGXuan XUShuai LIULi-peng XIEOn the basis of incremental GHSOM,the GHSOM neural network intrusion detection based on the theory of evidence reasoning method was put forward.It can deal with the uncertainty caused by randomness and fuzziness,as well as can constantly narrowing assumptions set by accumulate the evidence,effectively control dynamic growth of network and keep a good accuracy in noise environment.Experiments show that GHSOM intrusion detection method based on the Dempster Shafer theory realized the dynamic control for the scale of expended subnet during the process of detection.It has the better detection accuracy in the noise environment and improves the adaptability and extensibility of incremental GHSOM neural network intrusion detection method when the scale of network is expanded.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015282/Dempster-Shafer theoryincremental GHSOM neural networksintrusion detectionnetwork security |
spellingShingle | Jie SU Wei-wei DONG Xuan XU Shuai LIU Li-peng XIE GHSOM intrusion detection based on Dempster-Shafer theory Tongxin xuebao Dempster-Shafer theory incremental GHSOM neural networks intrusion detection network security |
title | GHSOM intrusion detection based on Dempster-Shafer theory |
title_full | GHSOM intrusion detection based on Dempster-Shafer theory |
title_fullStr | GHSOM intrusion detection based on Dempster-Shafer theory |
title_full_unstemmed | GHSOM intrusion detection based on Dempster-Shafer theory |
title_short | GHSOM intrusion detection based on Dempster-Shafer theory |
title_sort | ghsom intrusion detection based on dempster shafer theory |
topic | Dempster-Shafer theory incremental GHSOM neural networks intrusion detection network security |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015282/ |
work_keys_str_mv | AT jiesu ghsomintrusiondetectionbasedondempstershafertheory AT weiweidong ghsomintrusiondetectionbasedondempstershafertheory AT xuanxu ghsomintrusiondetectionbasedondempstershafertheory AT shuailiu ghsomintrusiondetectionbasedondempstershafertheory AT lipengxie ghsomintrusiondetectionbasedondempstershafertheory |