false-retrieval

基本解釋

To the problems higher rate of false retrieval in anomaly detection system due to the uncertainty of intrusion, this paper presents an Anomaly Detection Model Based on Q- Learning Algorithm (QLADM).
針對網(wǎng)絡入侵的不確定性導致異常檢測系統(tǒng)誤報率較高的不足，提出一種基於Q-學習算法的異常檢測模型（QLADM）。該模型把Q-學習、行爲意圖跟蹤和入侵預測結郃起來，可獲得未知入侵行爲的檢測和響應。