A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks

Author:

Polat Hüseyin,Türkoğlu Muammer,Polat Onur,Şengür Abdülkadir

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference46 articles.

1. An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems;Almalawi;Computers and Security,2014

2. A survey of fast flux botnet detection with fast flux cloud computing;Al-Nawasrah;International Journal of Cloud Applications and Computing,2020

3. Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment;Bhushan;Journal of Ambient Intelligence and Humanized Computing,2019

4. SCADA - Supervisory Control and Data Acquisition;Boyer,2004

5. Software-defined energy communication networks: From substation automation to future smart grids;Cahn,2013

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