Distributed Classification of Localization Attacks in Sensor Networks Using Exchange-Based Feature Extraction and Classifier
Secure localization under different forms of attack has become an essential task in wireless sensor networks. Despite the significant research efforts in detecting the malicious nodes, the problem of localization attack type recognition has not yet been well addressed. Motivated by this concern, we...
Main Authors: | Su-Zhe Wang, Yong Li, Wei Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Journal of Sensors |
Online Access: | http://dx.doi.org/10.1155/2016/8672305 |
Similar Items
-
Classifying network attack scenarios using an ontology
by: Van Heerden, Renier, et al.
Published: (2012) -
Sequence and text classification : features and classifiers
by: Li, Ming
Published: (2006) -
Experimental Study on ClassifierDesign and Text Feature Extraction for Short Text Classification
by: Sernheim, Mikael
Published: (2017) -
Secure APIT Localization Scheme Against Sybil Attacks in Distributed Wireless Sensor Networks
by: Yali Yuan, et al.
Published: (2018-01-01) -
Color–Texture Pattern Classification Using Global–Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing
by: Carlos F. Navarro, et al.
Published: (2019-08-01)