anomaly detection

In the meantime, with the parallel execution of misuse detection and anomaly detection, the system efficiency is greatly improved.

Because of the scalability of finite automaton, the intrusion detection system was made to be of certain anomaly detection capabilities.

From the basic thought and concept of HMM, the article establishes the prototype of HMM anomaly detection based on network.

Using experiments on network traffic analysis, the feasibility of updating normal profile for anomaly detection system is validated.

In is proposed an approach that combines penetration testing with anomaly detection for uncovering SQL Injection vulnerabilities.

The paper presents an anomaly detection algorithm, which builds its normal profiles by core objects of density-based clusters from queries.

Designing tests that match salient characteristics of test data to the anomaly detection products being tested means more work.

The experimental results show that the performance of water anomaly detection has significant improvement.

Experiments on anomaly detection to network traffic prove the feasibility of the approach.

An anomaly detection model was constructed from the distance in the principal component space and the reconstruction error of training data.

The problem of normal profile updating is discussed and the principle that designing an adaptive anomaly detection system is described.

Behavior-based antivirus software for endpoints and anomaly detection systems also work, but not for those who don't have them, he says.

Human tracking is widely exploited in motion analysis and anomaly detection.

Thirdly, we propose an anomaly detection method based on data transmission quality by using nodes' historical transmission statistical data.

then, discuss how to construct anomaly detection models using association rule and frequency episode algorithms in detail.

Results can provide efficient evidence for the latter work such as trajectory recognition, classification, and anomaly detection.

But, It is limited to use anomaly detection and misuse detection in practice.

This paper proposes a circular spatial correlation model, which is more suitable for the application of WSN in anomaly detection.

Numerical experiments show that our proposed method is effective in computation time and anomaly detection.

An approach of hyperspectral anomaly detection based on iterative error analysis (IEA) is presented.

In this paper, it puts forward a anomaly detection method based on GA-based unsupervised fuzzy clustering algorithm.

The anomaly detection method based on registry accesses using One Class Surport Vector Machine.

For example, it plays a very good role in the case of anomaly detection user-defined, or some unusual event.

on the other hand, this can also help network managers'anomaly detection, network traffic management.

Hyperspectral remote sensing; Anomaly detection; Unmixing; Abundance estimation;

Applying evolving fuzzy neural network to network unsupervised anomaly detection

Anomaly Detection for Privileged Programs with Fuzzy Abnormal Membership

Application of Geo-Electric Imaging Technology to Anomaly Detection for Embankments

The Evaluation of Unsupervised Anomaly Detection Algorithms

Anomaly detection of running state of machining system

Application of Project Pursuit in Hyperspectral Anomaly Detection

Decision Tree Algorithm-based Host Anomaly Detection Using Windows Native API Sequences

The Application of Information-Theoretic Measures to Anomaly Detection

Network anomaly detection model of optimizing session attributes

A Novel Bayesian Anomaly Detection Model Using Fuzzy Probability Assignment

Application to Cluster Algorithm in Anomaly Detection of Network Intrusion

A Real-Time Anomaly Detection Model Based on Sampling Measurement in a High-Speed Network

Analysis of Statistical Packet Anomaly Detection Engine

EMERALD: Anomaly Detection Based Event Monitoring

Research on continuous learning of anomaly detection pattern

An Algorithm from System Call Arguments and Sequences for Anomaly Detection

Application of Anomaly Detection Technology in Snort System

Application of Chi-Square Distance to Protocol Anomaly Detection

Anomaly Detection of Linux Process Behavior Using Markov Chains

Anomaly Detection Model with Unlabeled Training Data

Novel unsupervised anomaly detection based on robust principal component classifier

Research on Sequential Mining Model for Anomaly Detection

Algorithm of Mining Fuzzy Associate Rules in Anomaly Detection

An Algorithm of Unsupervised Anomaly Detection Based on DBMS and its Application

The Research of Anomaly Detection Based on High-Dimensional Geometrical Feature in Hyperspectral Imagery

real - time anomaly detection of network intrusions

A PCA Based Unsupervised Anomaly Detection Approach

Unsupervised Anomaly Detection Based on Principal Components Analysis

A method of anomaly detection oriented specific network service

Anomaly Detection of Network Flooding Attacks

A Rule-based Approach to Anomaly Detection in Inter-domain Routing System

The Study on Rapid Network Intrusion Detection Technology--The connection between misuse detection and anomaly detection

The Application of Neural Networks in Anomaly Detection

Computer Static System Resource Anomaly Detection Algorithm Based on Immune Principle

Anomaly detection based on improved negative selection matching algorithm

Research of Anomaly Detection Approaches Based on Feature Fusion in Hyperspectral Imagery

A Single-Level Immune Learning Algorithm for Anomaly Detection

Experimental Study on Dam Anomaly Detection

Using Neural Networks for Anomaly Detection

Anomaly Detection Method for Noisy Training Data

Anomaly Detection Method Based on CSA-Based Unsupervised Fuzzy Clustering Algorithm

Research on Method of Anomaly Detection of Aircraft AC Generator

Anomaly-detection based on Phase Space Reconstruction and One-class Classification

WBEM-based anomaly detection system of firewall policies

Unsupervised anomaly detection based on a multi-layer perceptron

Anomaly detection approach based on immune algorithm and support vector machine

Anomaly Detection Base on Neural Network

Anomaly Detection in Hyperspectral Imagery Based on Feature Fusion of Band Subsets

Clustering algorithm for anomaly detection based on queries density

Network anomaly detection based on attributes similarity and cloud model

Research on Anomaly Detection of System Call Sequences of Process Based on Rough Set Reduction

A Novel Approach Based on Fractal Characteristics for Anomaly Detection

An Improved Anomaly Detection Model for IDS

An Improved SVM Method in Anomaly Detection

Anomaly Detection of Gear Case Based on Real-valued Negative Selection Algorithm

Survey of Research on Anomaly Detection of Wavelet Analysis Based on Network Traffic

An Anomaly Detection Model Based on Dynamic Behavior and Character Patterns

Anomaly detection approach based on fuzzy data mining and genetic algorithm

Network traffic anomaly detection based on support vector machine

Research of Anomaly Detection Algorithm Based on Computer Network

Network Traffic Anomaly Detection Based on Adaptive Filter Theory

Fuzzy Anomaly Detection Method Based on Lattice Degree of Nearness

Anomaly Detection Techniques Based on Statistics

Anomaly Detection and Implementation Based on Wavelet

Anomaly Detection Based on System Call Classification

Anomaly Detection Based on System Call Classification

Research on and development of anomaly detection

Program behavior anomaly detection based on neural network

Method for anomaly detection of user behaviors based on hidden Markov models

Anomaly Detection Based on Sequential Patterns

Algorithm of Traffic Anomaly Detection Based on Steady Model

System Call Anomaly Detection Based on Extended Data Sources

Network-wide Traffic Anomaly Detection Based on Entropy

Anomaly Detection Based on Web Users'Browsing Behaviors

Anomaly Detection of User Behaviors Based on Profile Mining

Anomaly detection of large scale network based on data streams;

An anomaly detection model based on K-nearst neighbor classification algorithm

Anomaly Detection Defend DOS Attacks Based on Web Input Stream

Anomaly Detection Model Based on Q-Learning Algorithm

Method of anomaly detection based on feedback neural network

Real-time anomaly detection based on the static Makov chain model

Model and Design of Anomaly Detection Based on Confidence

An Improved Method Based on System Call Anomaly Detection

Research of Anomaly Detection System Based on Data Mining

An Anomaly Detection Model Based on System Call Sequences

An Anomaly Detection Method Based on Fuzzy Judgement

ICMP Traffic Anomaly Detection Based on Router

Anomaly Detection Based on Hidden Markov Model

Anomaly detection method based on wavelet

System Call Anomaly Detection Method Based on HMM

An Anomaly Detection Model Based on Danger Theory

Anomaly Detection Model Based on Data Mining

Anomaly detection based on grammar

An Anomaly Detection Algorithm Based on NIS

Anomaly Detection Based on SVM

Application of LSM-Based Data Source on Anomaly Detection