[PDF] Top 20 Outlier Detection in Wireless Sensor Networks Data by Entropy Based K NN Predictor
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Outlier Detection in Wireless Sensor Networks Data by Entropy Based K NN Predictor
... Outlier Detection in Wireless Sensor Networks Data by Entropy Based K-NN Predictor Manmohan Singh Yadav , Shish Ahamad Abstract: Anomaly ... See full document
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Outlier detection techniques for wireless sensor networks: A survey
... neighboring sensor nodes to dis- tinguish between outlying sensors and event ...boundary detection is based on the previous results of outlying sensor identification and determines a node as ... See full document
12
Outlier Detection Techniques For Wireless Sensor Networks: A Survey
... of outlier detection in WSNs has attracted much ...provides data reliability, event reporting, and secure functioning of the net- ...Specifically, outlier detection controls the quality ... See full document
23
An Improved Outlier Detection Scheme In Wireless Sensor Networks
... in sensor area. If the normal nodes want to send their sensed data to BS, they have the privilege of direct communication to ...forward data to CH and relay their data to BS through the ... See full document
12
A Systematic Literature Review on Outlier Detection in Wireless Sensor Networks
... an outlier if it has a lower probability in its own class as compared to other ...multidimensional data. Bayesian networks are capable of telling if an observed value is related to class or not but ... See full document
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Observing the unobservable : distributed online outlier detection in wireless sensor networks
... of sensor data for outlier ...spatial outlier detection techniques are both on- line and distributed and are enable to detect changes in the normal behavior of data, they are not ... See full document
193
Distance Based Method for Outlier Detection of Body Sensor Networks
... The wireless body sensor network (BSN) is one of solutions to this ...use wireless devices attached to or implanted in the body to collect various vital signs such as heart rate (HR), oxygen ... See full document
8
Adaptive and Online One-Class Support Vector Machine-based Outlier Detection Techniques for Wireless Sensor Networks
... local outlier detection techniques, which take different strategies to sequentially update the normal model formed by the one- class centered quarter-sphere ...each sensor node in the network to ... See full document
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Trust evaluation model with entropy based weight assignment for malicious node’s detection in wireless sensor networks
... of sensor networks. Based on historical behavior, the trust value of a node can be eval- uated to estimate the reliability based on the perform- ance of specific ...between sensor nodes ... See full document
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Network Based - Cut Detection in Wireless Sensor Networks
... Cut Wireless sensor networks (WSNs) are a promising technology for monitoring large regions at high spatial and temporal ...the wireless sensor network, which arise many problems like ... See full document
Neighbor-based Intrusion Detection for Wireless Sensor Networks
... of sensor nodes on energy, memory and computational ...conventional networks if they are placed in traffic concentration ...each sensor node runs an IDS agent and monitors its neighbors in a ... See full document
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Detection of False Data Distribution Nodes in Wireless Sensor Networks
... In wireless sensor networks node compromise attack is a serious ...the sensor networks: Last compromised sensor nodes rejoining the network and launching ...early ... See full document
5
Unsupervised anomaly detection for unlabelled wireless sensor networks data
... anomaly detection scheme based on OCSVM is used to evaluate the effectiveness performance in term of detection rate, detection accuracy, false positive rate and false negative ...anomaly ... See full document
20
In-network Outlier Cleaning for Data Collection in Sensor Networks
... in-network outlier detection in the context of sensor ...deviation detection for stream- ing data ...the detection [21]. Hida et al. proposed a method to perform outlier ... See full document
8
Energy Prediction Based Intrusion Detection in Wireless Sensor Networks
... DOS detection problem have considered variable energy consumption of states, behavior of nodes, and the messaging required to enable the ...transmitting data, a sensor node consumes the highest power ... See full document
8
Neighbor Based Malicious Node Detection in Wireless Sensor Networks
... of wireless sensor networks is to gather sensor data from the monitored ...the sensor data collected or reported might be ...wrong sensor readings and misleading ... See full document
7
A CLUSTER BASED INTRUSION DETECTION TECHNIQUES FOR WIRELESS SENSOR NETWORKS
... remote sensor arranges (WSN) is an accumu- lation of asset sensor hubs with numerous functiona- lities, for example, detecting, handling and correspo- ndence to different ...applications. Sensor hubs ... See full document
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Energy Prediction Based Intrusion Detection In Wireless Sensor Networks
... local data fusion in each cluster. Each cluster head, instead of each sensor node, directly sends fusion data to the base ...between data from nodes located close to each other. This allows ... See full document
9
Hybrid Anomaly Detection using K-Means Clustering in Wireless Sensor Networks
... KDD data set and second, a novel method is proposed to combine the results of these two learning based ...combining k-Medoids based clustering technique followed by Naive Bayes classification ... See full document
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Detecting malicious data injections in event detection wireless sensor networks
... and comparisons between measurements. Furthermore, they interact with each other as collusion may leverage deviations in sensed values introduced by the event. Addressing this challenge has exposed several trade-offs in ... See full document
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