[PDF] Top 20 Community-based anomaly detection in evolutionary networks.
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Community-based anomaly detection in evolutionary networks.
... algorithms based on the minimum description length principle for the purpose of detecting three categories of anomalies that closely resemble normal behavior, including label modifications, vertex/edge inser- ... See full document
27
Robust Factor based Anomaly Detection in Hierarchical Wireless Sensor Networks
... sensor networks [BS07, ...is based on correlation coefficient tests between neighboring ...marked. Detection is achieved with collaboration between the nodes so as to isolate the problematic ... See full document
7
An Entropy Gain Ratio based Algorithm for Community Detection in Mobile Social Networks
... Complex networks have proved to be a useful tool to model structural complexity of a variety of complex systems in different domains including sociology, biology, ethology and computer ...science. Community ... See full document
6
Increasing Anomaly Detection Accuracy in Cloud Networks
... In [3], [8], [9] the specific security threats and challenges introduced into clouds through the use of core virtualization technologies are discussed. Despite the end-user benefit gained by virtualization it also comes ... See full document
6
A Bayes Learning based Anomaly Detection Approach in Large scale Networks
... our detection approach for network traffic ...average detection performance for our detection method. The detection threshold in Equation (8) is established according to our detection ... See full document
7
Research on the Anomaly Detection Method in Intelligent Patrol Based on Big Data Analysis
... as anomaly. In recent years, anomaly researches based on time series mainly focus on point anomaly, pattern anomaly and sequence ...point anomaly is the basis of the research of ... See full document
7
Anomaly detection in drilling using neural networks
... largely based on limits and enveloping ...signal based on the heuristic knowledge of the system manufacturer taking into account the individual set ...system based on the ... See full document
9
Flow-Based Anomaly Intrusion Detection System Using Two Neural Network Stages
... of Anomaly detection systems using neural networks and based on NetFlow dataset have been proposed and ...stages. Anomaly detection stage (NN1) was trained until the best ... See full document
22
Analysis of DDoS Attacks in Heterogeneous VoIP Networks: A Survey
... for anomaly detection and notifying users about possible ...those detection algorithms provides solution according to the port number used to transmit the ...and detection of SIP based ... See full document
5
Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average
... traffic anomaly detection method for the railway transportation critical infrastructure monitored using wireless sensor networks ...was based on the compromise between the conciseness of ... See full document
14
ADLU: a novel anomaly detection and location-attribution algorithm for UWB wireless sensor networks
... sensor networks (WSNs) are gaining more and more interest in the research community due to their unique ...intrusion detection system (IDS) is one such solution to the ...and ... See full document
12
Outlier Detection in Wireless Sensor Networks Data by Entropy Based K NN Predictor
... anomalies detection specifies abnormal behaviour in ...is detection in large areas related to environmental change (temperature, atmospheric pressure or the received signal which are different from which ... See full document
7
An Anomaly based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities
... Intrusion Detection Systems (IDSs) and visualization techniques has considerably become an important research topic to protect computer networks from ...novel anomaly-based intrusion ... See full document
42
A Survey on Botnet Detection Based On Anomaly and Community Detection
... ABSTRACT: Botnets are the foremost common vehicle of cyber-criminal activity. They’re used for spamming, phishing, denial-of-service attacks, brute-force cracking, stealing non-public data, and cyber warfare. A botnet ... See full document
7
Botnet Detection based on System and Community Anomaly Detection
... To summarize, although our system greatly enhances and complements the capabilities of existing P2P botnet detection systems, it is not perfect. We should definitely strive to develop more robust defense ... See full document
5
Anomaly-based botnet detection for 10 Gb/s networks
... traffic based on pattern recognition and behavioral ...of anomaly-based detection to this system and the practical applications for this device in evolving corporate networks where ... See full document
70
Anomaly detection in dynamic networks: A survey
... performing anomaly detection in dynamic net- works in hopes to bridge the gap between the increasing number of of emerging algo- rithms for this important graph mining task and the lack of their ... See full document
27
Significance-based community detection in weighted networks
... many community detection methods proceed by identifying node sets having intra-connectivity significantly beyond what is expected under the ...binary networks according to the observed versus ... See full document
48
Routing Attacks Detection Method of Wireless Sensor Network
... sensor networks, we proposed an anomaly detection method based on particle swarm optimization K-means clustering algorithm to detect routing attacks caused by abnormal flows in this ... See full document
11
Network Intrusion Detection Using Machine Learning Techniques
... the most common descriptors, such as source port, are omitted. To eliminate these drawbacks a new data set for evaluation purpose called Kyoto2006+ is used. This new data set contains 24 features - 14 features are the ... See full document
10
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