Dehury, Jitendra Pratap (2018) Random Forest-Based Intrusion Detection System (IDS). MTech thesis.
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Intrusion Detection system plays an important role in network security because existing security technology is un-realistic. Most of the intrusion system (IDSs) are unable to detect intrusions due to rule based system. In this thesis random forest algorithm is used for outlier detection of network patterns. There are three intrusion techniques for intrusion detection: misuse detection , anomaly detection and hybrid detection .In this thesis the AWID-cls-R data
set is used for classification. Here the aim is to reduce the false positive rate and improve the performance of intrusion detection systems which will help to prevent and monitor different types of attack.
|Item Type:||Thesis (MTech)|
|Uncontrolled Keywords:||random forest; data mining; intrusion detection; pattern.|
|Subjects:||Engineering and Technology > Computer and Information Science > Networks|
|Divisions:||Engineering and Technology > Department of Computer Science Engineering|
|Deposited By:||IR Staff BPCL|
|Deposited On:||12 Mar 2019 17:50|
|Last Modified:||12 Mar 2019 17:50|
|Supervisor(s):||Mohapatra, Ramesh Kumar|
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