An Efficient Data-Driven Clustering Technique to Detect Attacks in ...
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Dec 25, 2015 · This paper presents an innovative intrusion detection approach to detect SCADA tailored attacks. This is based on a data-driven clustering ...
Abstract—Supervisory Control and Data Acquisition (SCADA) systems have become a salient part in controlling critical in- frastructures such as power plants, ...
This paper presents an innovative intrusion detection approach to detect SCADA tailored attacks. This is based on a data-driven clustering technique of process ...
An innovative intrusion detection approach to detect SCADA tailored attacks is presented based on a data-driven clustering technique of process parameters, ...
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May 1, 2016 · This paper presents an innovative intrusion detection approach to detect SCADA tailored attacks. This is based on a data-driven clustering ...
Almalawi et al. An efficient data-driven clustering technique to detect attacks in SCADA systems. IEEE Trans Inf Forensics Secur. (2016). M. Ambusaidi et al ...
An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems · SCADAVT-A framework for SCADA security testbed based on virtualization ...
Oct 5, 2021 · An efficient data-driven clustering technique to detect attacks in scada systems. ... clustering technique to detect attacks in scada systems ...
An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems ... This is based on a data-driven clustering technique of process parameters ...
Jul 1, 2022 · For prevailing over these disadvantages, an NK-RNN classifier is proposed to recognize the intrusions in the SCADA method. Initially, the ...