A Re-evaluation of Intrusion Detection Accuracy
Author:
Affiliation:
1. Liverpool University, Liverpool, United Kingdom
Funder
Oman Government
University of Liverpool
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3243734.3278490
Reference14 articles.
1. A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
2. McAfee Lab. 2017. Threat Report. (2017). McAfee Lab. 2017. Threat Report. (2017).
3. An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
4. Testing Intrusion detection systems
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