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nk2
- 半监督异常行为监测pdf，提出新的基于半监督学习的行为建模与异常检测方法，采用基于动态时间归整的归一化距离来建立相似矩阵-Semi-supervised monitoring abnormal behavior pdf, propose a new semi-supervised Learning based on behavior modeling and anomaly detection methods, based on Dynamic Time Warping of the norma
AnAnomalyBasedApproachforIntrusion
- A new system for web attack detection is presented. It follows the anomaly-based approach, therefore known and unknown attacks can be detected. The system relies on a XML file to classify the incoming requests as normal or anomalous. The XML
UnsupervisedAnomalyDetectionBasedOnPrincipalCompon
- 入侵检测系统在训练过程中需要大量有标识的监督数据进行学习,不利于其应用和推广.为了解决该问题,提出了一种基于主成分分析的无监督异常检测方法,在最小均方误差原则下学习样本的主要特征,经过压缩和还原的互逆过程后能最大限度地复制样本信息,从而根据均方误差的差异检测出异常信息.构建的仿真系统经过实验证明,基于主成分分析的无监督异常检测方法能够在无需专家前期参与的情况下检测出入侵,实验结果验证了其有效性.-Intrusion Detection System in the training process
01714200
- K-means Algorithm Based on Particle Swarm Optimization Algorithm for Anomaly Intrusion Detection
214123
- 2009年—A Comparison Study of Dual Window-Based Anomaly Detection Algorithms for Hyperspectral Imagery.pdf
anomaly-detection
- 自适应的基于ROC的HMMs在异常检测中的应用-Adaptive ROC-based ensembles of HMMs applied to anomaly detection
30934-30685-1-PB
- The title of my paper is An overview of anomaly based intrusion detection systems .-The title of my paper is An overview of anomaly based intrusion detection systems .
group-anomaly-detection
- 基于光流直方图和稀疏表示的群体异常事件检测-Detecting abnormal events based group optical flow histogram and sparse representation