Research Article
A Resource Consumption Attack Identification Method Based on Data Fusion
@INPROCEEDINGS{10.1007/978-3-030-73562-3_11, author={Libin Jiao and Yonghua Huo and Ningling Ge and Zhongdi Ge and Yang Yang}, title={A Resource Consumption Attack Identification Method Based on Data Fusion}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. 5th EAI International Conference, SmartGIFT 2020, Chicago, USA, December 12, 2020, Proceedings}, proceedings_a={SMARTGIFT}, year={2021}, month={7}, keywords={Resource consumption attack Correlation analysis Data fusion D-S evidence theory}, doi={10.1007/978-3-030-73562-3_11} }- Libin Jiao
Yonghua Huo
Ningling Ge
Zhongdi Ge
Yang Yang
Year: 2021
A Resource Consumption Attack Identification Method Based on Data Fusion
SMARTGIFT
Springer
DOI: 10.1007/978-3-030-73562-3_11
Abstract
Data fusion can make use of information from different sources or different representations to describe the target more accurately, which has important research significance. Aiming at the network-running node may be attacked or there is measurement error, this paper comprehensively utilizes the information of each node, and proposes a resource consumption attack identification method based on node multi-dimensional data fusion. First, construct a correlation matrix between nodes, identify normal nodes and possible abnormal nodes, and assign different weights to each node. Then, calculating the support of the node's system attributes for the attack type, and adopting the D-S evidence theory to effectively identify the network attack. The simulations demonstrate the effectiveness and certain advantages of the proposed algorithm.
