Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network

碩士 === 國立中正大學 === 資訊工程研究所 === 106 === Profiling network behavior of Internet hosts is important for network management and security monitoring. It is useful in understanding the behavior of hosts and detecting abnormal activities. In this work, we use bipartite graphs and one-mode projection to buil...

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Main Authors: ZHENG, MING-JIE, 鄭銘捷
Other Authors: LIN, PO-CHING
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/pbps94
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spelling ndltd-TW-106CCU003920422019-05-30T03:50:42Z http://ndltd.ncl.edu.tw/handle/pbps94 Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network ZHENG, MING-JIE 鄭銘捷 碩士 國立中正大學 資訊工程研究所 106 Profiling network behavior of Internet hosts is important for network management and security monitoring. It is useful in understanding the behavior of hosts and detecting abnormal activities. In this work, we use bipartite graphs and one-mode projection to build a social relationship graph of hosts in a managed network and perform a clustering algorithm to group hosts that often accessed the same services for a long time. After that, we analyze the behavior of clusters based on the common services of hosts in the cluster. The experiment results demonstrate that our method can discover clusters of hosts that often accessed the same services for many days from a real network traffic of primary and secondary schools of a county in Taiwan Academic Network. We can summarize the behavior of hosts and detect outlier clusters with unusual behavior. LIN, PO-CHING 林柏青 2018 學位論文 ; thesis 33 en_US
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description 碩士 === 國立中正大學 === 資訊工程研究所 === 106 === Profiling network behavior of Internet hosts is important for network management and security monitoring. It is useful in understanding the behavior of hosts and detecting abnormal activities. In this work, we use bipartite graphs and one-mode projection to build a social relationship graph of hosts in a managed network and perform a clustering algorithm to group hosts that often accessed the same services for a long time. After that, we analyze the behavior of clusters based on the common services of hosts in the cluster. The experiment results demonstrate that our method can discover clusters of hosts that often accessed the same services for many days from a real network traffic of primary and secondary schools of a county in Taiwan Academic Network. We can summarize the behavior of hosts and detect outlier clusters with unusual behavior.
author2 LIN, PO-CHING
author_facet LIN, PO-CHING
ZHENG, MING-JIE
鄭銘捷
author ZHENG, MING-JIE
鄭銘捷
spellingShingle ZHENG, MING-JIE
鄭銘捷
Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network
author_sort ZHENG, MING-JIE
title Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network
title_short Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network
title_full Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network
title_fullStr Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network
title_full_unstemmed Behavior Analysis of IP Hosts Based on the Temporal Social Relationship in a Managed Network
title_sort behavior analysis of ip hosts based on the temporal social relationship in a managed network
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/pbps94
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