AUC: 0.94
Papers with Code · CC BY-SA 4.0
Intrusion Detection
Intrusion Detection is the process of dynamically monitoring events occurring in a computer system or network, analyzing them for signs of possible incidents and often interdicting the unauthorized access. This is typically accomplished by automatically collecting information from a variety of systems and network sources, and then analyzing the information for possible security problems.
<span class="description-source">Source: Machine Learning Techniques for Intrusion Detection </span>
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12개논문
Accuracy (%): 98.07Precision (Macro Avg): 98.08Recall (Macro Avg): 98.07F1 Score (Macro Avg): 98.07
Actions Top-1 (S2): action
Avg F1: 0.9875Recall: 98.34Precision: 99.26
0..5sec: wwwwwwww
Average Class Accuracy: 98.85%
Avg F1: 0.94Recall: 99.7Precision: 88.7
Avg F1: 0.908Recall: 86.2Precision: 95.9
Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 Dataset
Avg F1: 0.971Recall: 96.1Precision: 98.2
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