Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach
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Summary
Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach is a doctoral thesis[1].
Key Facts
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach authored Andreas Löf[2].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's instance of is recorded as doctoral thesis[3].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach was published by Waikato Research Commons[4].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's place of publication is recorded as Hamilton[5].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's language of work or name is recorded as English[6].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's country of origin is recorded as New Zealand[7].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach was released on 2013[8].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's main subject is data fusion[9].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/8041[10].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's title is recorded as Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach[11].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's copyright holder is recorded as Andreas Löf[12].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's thesis submitted to is recorded as University of Waikato[13].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's on focus list of Wikimedia project is recorded as NZThesisProject[14].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's copyright status is recorded as copyrighted[15].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's online access status is recorded as open access[16].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's thesis committee member is recorded as Richard Nelson[17].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's thesis committee member is recorded as Michael Mayo[18].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's thesis committee member is recorded as Anthony James McGregor[19].
- Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's thesis submitted for degree is recorded as Doctor of Philosophy[20].
Body
Designation and Status
Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach's instance of is recorded as doctoral thesis[3].