Integrating Industrial Appliances for Security Enhancement in Data Point Using SCADA Networks with Learning Algorithm

Abstract

e process of ensuring automatic operation for industrial appliances using both supervision and control techniques is a challenging task.erefore, this article focuses on implementing Supervisory Control and Data Acquisition (SCADA) for controlling all industrial appliances. e design process of implementation case is performed using an analytical framework by examining the primary energy sources at the initial state; thus, a smart network is supported. e designed mathematical model is integrated with a learning technique that allocates resources at proper quantities. Further, the complex manual tuning of individual appliances is avoided in the projected method as the input variables are driven in a direct way at reduced loss state. In addition, the data processing state of individual appliances is carried out using central data controller where all parametric values are stored. In case any errors are observed, then SCADA network fixes the error in an automated way, reducing end-to-end delays in all appliances. To validate the effectiveness of the proposed method, five scenarios are examined and simulated where outcomes prove that SCADA network using learning models provides optimal results on an average of 84 percent as compared to the existing models without learning algorithm.

A Proficient ZESO-DRKFC Model for Smart Grid SCADA Security

“…The performance of this technique has been validated in terms of computational cost and communication overhead. Mir et al [2] presented a detailed security assessment for analyzing the baseline requirements for SCADA systems. It includes the following key elements: Moreover, it suggested various controls used for fulfilling SCADA security requirements, such as single point of accountability, cyber security policy, security management, and information security.…”

“…Supervisory Control and Data Acquisition (SCADA) systems [1,2] play an essential role in smart grid systems. An Internet of Things (IoT) [3] has a wide range of uses, including in smart cities, businesses, and healthcare.…”

Enhancing Smart Grid Cybersecurity: A Comprehensive Analysis of Attacks, Defenses, and Innovative AI-Blockchain Solutions

“…The rapid growth of cyber-physical systems offers FDIAs, which hack the grid and manipulate data unethically, both opportunity and hazards. Bus voltage and phase angle have been estimated using state estimation by SCADA to investigate transmission stability and load shedding [79]. To ensure that the SG is operating as intended, an energy management system can be installed in the control center [80].…”