Description: 该软件是一个有名的基于网络的入侵检测系统，其功能及相 关信息在本书中做了详细的分析和说明（该软件具有的功能 有：网络信息包嗅探、记录网络信息包并进行网络数据分析、 基于网络的误用检测等-The software is a well-known network-based intrusion detection system, and its function and related information in the book to do a detailed analysis and explanation (the software has the functions : network packet sniffer, records and network packet network data analysis, network-based misuse detection Platform: |
Size: 396671 |
Author:wss |
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Description: 该软件是一个有名的基于网络的入侵检测系统，其功能及相 关信息在本书中做了详细的分析和说明（该软件具有的功能 有：网络信息包嗅探、记录网络信息包并进行网络数据分析、 基于网络的误用检测等-The software is a well-known network-based intrusion detection system, and its function and related information in the book to do a detailed analysis and explanation (the software has the functions : network packet sniffer, records and network packet network data analysis, network-based misuse detection Platform: |
Size: 396288 |
Author:wss |
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Description: 客流量检测用的，创新使用一个很漂亮的算法，解决检测速度的问题，检测效率及正确率100％，不用再担心误检测的问题-Traffic detection, and innovative use of a very good algorithm to solve the problem of detection speed, detection efficiency and accuracy rate of 100, no longer has to worry the problem of misuse detection Platform: |
Size: 220160 |
Author:yeblue |
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Description: 本文使用麻省理工学院林肯实验室的网络流量数据（ IDEVAL ）作为检测混合入侵检测系统性能的试验数据。混合入侵检测系统获得的结果和的基于误用检测入侵检测系统相比较表明，混合入侵检测系统是一个更强大的系统-In this paper, Massachusetts Institute of Technology Lincoln Laboratory data of network traffic (IDEVAL) as the detection of hybrid intrusion detection system performance test data. Hybrid Intrusion Detection System to obtain the results and misuse detection-based intrusion detection system compared to show that the hybrid intrusion detection system is a more powerful system Platform: |
Size: 489472 |
Author:杨川 |
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Description: The problem of intrusion detection has been studied and received a lot of attention in
machine learning and data mining in the literature survey. The existing techniques are not
effective to improve the classification accuracy and to reduce high false alarm rate.
Therefore, it is necessary to propose new technique for IDS. In this work, we propose a
new K-means clustering method with a different Preprocessing and Genetic Algorithm
for identifying intrusion and classification for both anomaly and misuse.
The experiments of the proposed IDS are performed with KDD cup’99 data set. The
experiments will clearly results the proposed method provides better classification
accuracy over existing method. Platform: |
Size: 400384 |
Author:Sumit |
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Search - misuse detection