Cyber Security Case Study
Cyber Security Case Study
System developers should review cybersecurity policies’ adherence and the degree of protection against threats. Due to affordability, accessibility, and quality of online services, the network has moved from isolated to interconnected. Internet connectivity has changed how system developers view threats and the recent capability to monitor and control processes. While some argue that interconnectivity has brought immense benefits, others argue that it has brought about cyber insecurity, which calls for an effective solution. Supervisory Control and Data Acquisition (SCADA) is an example of a strong system that serves traditional applications and critical infrastructure systems. SCADA uses techniques like evaluation and evolution of defense techniques, assessment, simulation, and modeling to acquire success. It is a good example that other system developers can emulate to identify the most effective cyber defense practice.
SCADA uses various approaches to enhancing cyber security for its clients (Nazir et al., 2020). When assessing and augmenting SCADA cyber security, Nazir and others discovered that it uses simulation and modeling techniques to measure the degree of vulnerability of a system through identifying the degree of defense against a particular threat. Similarly, they discovered that the developer ensures continuous evaluation and evolution of new defense techniques due to new threats. Cyber Security Case Study Moreover, it uses simulation, modeling, honey pots, and assessment techniques to identify a threat before it strikes. SCADA’s different techniques to identify threats and prevent potential ones promote its widespread use.
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These SCADA techniques are effective since they identify a threat before it manifests, test system vulnerability, and generate new ways to deal with upcoming threats. Using simulation security assessment, modeling, and honey pot, they can identify the possibility of an attack and prevent compromising the system. Zhao et al. argue that foreseeing cyber-attacks is vital in exposing hidden attacks and thwarting malicious ones. Testing system vulnerability helps the clients understand the security level a system is providing and the regulatory requirements. Similarly, it helps the providers to test the system before offering its services. Evaluating and inventing the security techniques can expose hidden vulnerabilities and take action on the identified attack (Augusto-Gonzalez et al., 2019). Thus, this can rectify any weakness associated with the security of a system.
The most effective solution to cyber threats is combining the three strategies. A developer can uncover underlying threats and detect potential attacks, which reduces cyber insecurity (Augusto-Gonzalez et al., 2019). On the other hand, the developer can identify the weakness of a system, thus ensuring quality for the client. When producers invent new ways, they can learn new skills and provide better services (Ferrag et al., 2020). Thus, combining different strategies is effective since the developer has a chance to improve on quality and ensure high security for their client.
Conclusively, system developers can use SCADA to determine the most effective method for providing quality services. SCADA uses various effective approaches in providing cyber security. They can uncover a hidden threat, prevent malicious attacks and identify the weakness of a system. Thus, combining the three strategies can guarantee security to the client and help the provider develop new skills. Every system developer should consider combining the three techniques to combat cyber threats and enhance system quality.
References
Augusto-Gonzalez, J., Collen, A., Evangelatos, S., Anagnostopoulos, M., Spathoulas, G., Giannoutakis, K. M., … & Nijdam, N. A. (2019, September). From internet of threats to the internet of things: A cyber security architecture for smart homes. In 2019 IEEE 24th International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks (CAMAD) (pp. 1-6). IEEE.
Ferrag, M. A., Maglaras, L., Moschoyiannis, S., & Janicke, H. (2020). Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study. Journal of Information Security and Applications, 50, 102419.
Nazir, S., Patel, S., & Patel, D. (2020, May 5). Assessing and augmenting SCADA cyber security: A survey of techniques. Research Online. Retrieved May 15, 2022, from https://researchonline.gcu.ac.uk/en/publications/assessing-and-augmenting-scada-cyber-security-a-survey-of-technique
Zhao, J., Shao, M., Wang, H., Yu, X., Li, B., & Liu, X. (2022). Cyber threat prediction using dynamic heterogeneous graph learning. Knowledge-Based Systems, 108086.
