Design of intrusion detection model based on ASSA2010 method
This study propose intrusion detection model that use ensemble principle, which uses the ASSA2010 method combined with single variable classifier based on the decision tree, with the aim of getting better performance than single classifiers (decision trees for example) and faster detection than ense...
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id-itb.:353772019-02-25T15:08:23Z Design of intrusion detection model based on ASSA2010 method Aziz, Baharuddin Indonesia Theses model, intrusion detection, network, anomaly, ASSA2010, ensemble, decision tree, single variable classifier INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/35377 This study propose intrusion detection model that use ensemble principle, which uses the ASSA2010 method combined with single variable classifier based on the decision tree, with the aim of getting better performance than single classifiers (decision trees for example) and faster detection than ensemble method. Performance of proposed methods will be measured and compared with ensemble and tree based methods. Based on the results, the proposed method is better than ensemble and tree methods, namely missrate, sensitivity, and accuracy, so that: (1) the probability of prediction mistakes (anomalies as anomalies) is lower; (2) better comparing anomalies (as anomalies); and (3) better in predictions (normal predicted normal or anomalous predicted anomalies). text |
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Indonesia Indonesia |
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This study propose intrusion detection model that use ensemble principle, which uses the ASSA2010 method combined with single variable classifier based on the decision tree, with the aim of getting better performance than single classifiers (decision trees for example) and faster detection than ensemble method. Performance of proposed methods will be measured and compared with ensemble and tree based methods. Based on the results, the proposed method is better than ensemble and tree methods, namely missrate, sensitivity, and accuracy, so that: (1) the probability of prediction mistakes (anomalies as anomalies) is lower; (2) better comparing anomalies (as anomalies); and (3) better in predictions (normal predicted normal or anomalous predicted anomalies). |
| format |
Theses |
| author |
Aziz, Baharuddin |
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Aziz, Baharuddin Design of intrusion detection model based on ASSA2010 method |
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Aziz, Baharuddin |
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Aziz, Baharuddin |
| title |
Design of intrusion detection model based on ASSA2010 method |
| title_short |
Design of intrusion detection model based on ASSA2010 method |
| title_full |
Design of intrusion detection model based on ASSA2010 method |
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Design of intrusion detection model based on ASSA2010 method |
| title_full_unstemmed |
Design of intrusion detection model based on ASSA2010 method |
| title_sort |
design of intrusion detection model based on assa2010 method |
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https://digilib.itb.ac.id/gdl/view/35377 |
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