• No results found

[PDF] Top 20 Network Anomaly Detection Based on Wavelet Analysis

Has 10000 "Network Anomaly Detection Based on Wavelet Analysis" found on our website. Below are the top 20 most common "Network Anomaly Detection Based on Wavelet Analysis".

Network Anomaly Detection Based on Wavelet Analysis

Network Anomaly Detection Based on Wavelet Analysis

... days’ network flows are collected on Fred-eZone and we use, for example, the notation “Fred-Day1” to represent the tra ffi c for the first ...signal. Based on this we get wavelet approximation coe ffi - ... See full document

16

A Survey on Anomaly-Based Network Intrusion Detection Systems

A Survey on Anomaly-Based Network Intrusion Detection Systems

... Intrusion Detection Systems (NIDS) are among the most broadly sent such ...called Anomaly Detection Systems, create models taking into account typical framework or system conduct, with the objective ... See full document

7

COMPARATIVE STUDY ON BOTNET DETECTION

COMPARATIVE STUDY ON BOTNET DETECTION

... Botnet Detection; Cyber-security; network of compromised computers called “Bots” under the remote control of a human operator called “Bot ...Botnet detection has been a major research topic in recent ... See full document

7

Statistical wavelet based anomaly detection in big data with compressive sensing

Statistical wavelet based anomaly detection in big data with compressive sensing

... the detection tool, and it worked in monostatic mode wherein the waveform pulses were transmitted from a single omnidirectional antenna and scattered waveforms were acquired by a collocated omni- directional ... See full document

6

Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges

Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges

... the analysis of raw datasets, thereby helping in generating analytic insights from unlabeled ...factor analysis, latent models, and outlier detection, have helped significantly advance the state of ... See full document

37

Evaluation of Unsupervised Anomaly Detection Methods in Sentiment Mining

Evaluation of Unsupervised Anomaly Detection Methods in Sentiment Mining

... techniques based on distance and cluster for anomaly ...clustering based on similarity measures, anomalies can be eliminated on the prime attribute subset rather than on the full ...outlier ... See full document

6

Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set

Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set

... Applications based on RANdomized Search) [29], K-modes [30], ISODATA (Iterative Self-Organizing Data Analysis Technique) [31], FCM (fuzzy-c-means) [32] is scalability for large data and ...density ... See full document

28

A General Study of Associations rule mining in Intrusion Detection System

A General Study of Associations rule mining in Intrusion Detection System

... or anomaly detection [1]. The misuse detection approach assumes that an intrusion can be detected by matching the current activity with a set of intrusive patterns (generally defined by experts or ... See full document

10

Security Issues on Composite Web Services

Security Issues on Composite Web Services

... for network intrusion detection ...signature based (NIDS) that sits behind the anomaly detection system, IDS preventing web-based attacks when implanted as web-application ...on ... See full document

5

An Anomaly based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities

An Anomaly based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities

... Abnormal network traffic analysis through Intrusion Detection Systems (IDSs) and visualization techniques has considerably become an important research topic to protect computer networks from ... See full document

42

REVIEW ON UNSUPERVISED NETWORK ANOMALY DETECTION

REVIEW ON UNSUPERVISED NETWORK ANOMALY DETECTION

... Unsupervised Network Anomaly Detection Algorithm avoids the lack of robustness of general clustering approaches, by combining the notions of Sub-Space Clustering, Density-based Clustering, and ... See full document

6

A Review on Intrusion Detection System based on Artificial Immune System

A Review on Intrusion Detection System based on Artificial Immune System

... Intrusion detection system monitors computer system in real-time for activities indicating attempted or actual access by unauthorised ...intrusion detection system many techniques are available which ... See full document

5

MAXIMIZED RESULT RATE JOIN ALGORITHM

MAXIMIZED RESULT RATE JOIN ALGORITHM

... the network domain considered for ...source network enables a detector to detect attacks early and is able to control hijacking of admin domain ...for analysis purposes. 2. ANOMALY ... See full document

5

Session Based Hidden Markov Model for Network Anomaly Detection

Session Based Hidden Markov Model for Network Anomaly Detection

... Testing:The primary objective of the HMM model is to predict the given session as normal or anomalous based on the characteristics of the attributes considered at the time of training. The testing process is ... See full document

7

Network Level Anomaly Detection System with Principal Component Analysis

Network Level Anomaly Detection System with Principal Component Analysis

... Anomaly detection technique detects abnormal behavior that has significant deviations from a pre-established normal ...of anomaly detection techniques is that they do not require known attack ... See full document

7

Filtering method in wireless sensor network management based on EMD algorithm and multi scale wavelet analysis

Filtering method in wireless sensor network management based on EMD algorithm and multi scale wavelet analysis

... sensor network gateway location, respectively (Coordinator), reference node (router) and the blind ...open network, and wait for other types of nodes in network, the effective data then receives the ... See full document

7

Anomaly network intrusion detection method in network security based on principle component analysis

Anomaly network intrusion detection method in network security based on principle component analysis

... intrusion detection problem has received great interest from ...a network intrusion detector from the KDD Cup 1999 data, which is a predictive model capable of distinguishing between “bad” connections ... See full document

11

Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average

Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average

... two-stage network traffic anomaly detection method for the railway transportation critical infrastructure monitored using wireless sensor networks ...was based on the compromise between the ... See full document

14

Big Data Security Analysis in Network Intrusion Detection System

Big Data Security Analysis in Network Intrusion Detection System

... intrusion detection system (IDS) which is basically a software developed application or a computer-controlled device that continuously 24/7 monitors the whole system of an organization or a network for any ... See full document

7

Anomaly Detection and Localization by Diffusion Wavelet-based Analysis on Traffic Matrix

Anomaly Detection and Localization by Diffusion Wavelet-based Analysis on Traffic Matrix

... Diffusion wavelet-based analysis is a sparsification technique which represents a TM as a sufficiently sparse signal in wavelet ...TM analysis is similar to Compressed Sensing (CS) ... See full document

14

Show all 10000 documents...