The Internet and computer networks are exposed to an increasing number of security threats. With new types of attacks appearing continually, developing flexible and adaptive security oriented approaches is a severe challenge. In this context, anomal
In this work we present a novel scheme for statistical-based anomaly detection in 3G cellular networks. The traffic data collected by a passive monitoring system are reduced to a set of per-mobile user counters, from which time-series of unidimensio
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that of a network-wide view of the traffic state, called the traffic matrix
异常检测的综述：Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are mo
论文翻译。Abstract—In this letter, a novel anomaly detection framework with transferred deep convolutional neural network (CNN) is proposed. The framework is designed by considering the following facts: 1) a reference data with labeled samples are utiliz
Everyone loves a mystery, and at the heart of it, that’s what anomaly detection is—spotting the unusual, catching the fraud, discovering the strange activity. Anomaly detection has a wide range of useful appli‐ cations, from banking security to natu
Intelligent video systems and analytics represent an active research field combining methods from computer vision, machine learning, data mining, signal processing and other areas for mining meaningful information from raw video data. The availabilit
