The field of cyber security is expanding and yet requires qualified personnel. Data protection is referred to by the more general phrase “information security.” Computer networks are shielded against hacker attacks and unauthorized access by cybersecurity experts. In order to achieve this, they work to foresee potential cyber risks, protect against them, and respond to actual security breaches. This paper analyzes the skills required to work in cybersecurity.
A Layer 2 network protocol called Spanning Tree Protocol (STP) guards against looping in a topology. STP was developed to prevent the issues when computers exchange data over redundant channels in a local area network (LAN) (Islam et al., 2021). A fundamental protocol called a spanning tree enables people to provide resilience to inter-switch communications. The problem can be when someone unintentionally connects things they should not, and this prevents catastrophic loops from occurring – a simple example of the understanding theory. During the interview, it is necessary to highlight the knowledge of working as a graph as a mathematical theory and the simple use of spanning trees in cybersecurity.
Cybersecurity analytics is viewed as a more sophisticated field straddling the border between security and statistics as data analysis methods are embraced more broadly. Cybersecurity data analytics demonstrates the ability to gather vast amounts of digital data (Sarker et al., 2020). It functions by extracting, displaying, and interpreting futuristic insights to enable early detection of catastrophic cyber threats and attacks. Utilizing Artificial Intelligence-based cyber-security algorithms that thwart these assaults using the same techniques and post-infiltration data analytics is the best way to deal with this emerging sophisticated security. The problem that the analyst has to deal with is, for example, when hackers try to steal a large amount of data, the data analyst must quickly fix this. In the interview, it is essential to mention what a data analyst is in the field of cybersecurity, as well as examples of the use of data analysis skills.
To summarize, IT professionals covering many aspects of cybersecurity may now have titles like cybersecurity engineer or specialist. Cybersecurity has been undergoing massive technological shifts and operations recently, and data science is driving the change. STP is essential since it prevents network loops and associated outages by blocking redundant links or paths. The concept of cybersecurity data science allows for making the computing process more actionable and intelligent compared to traditional ones in the cybersecurity domain. These skills are required in two areas: cloud software development and cybersecurity. An example would be working as a data analyst, requiring knowledge of network protocols and the ability to analyze data using the PYTHON language.
References
Islam, N., Shamim, S. M., Fazla Rabbi, M., Khan, S. I., & Abu Yousuf, M. (2021). Building Machine Learning Based Firewall on Spanning Tree Protocol over Software Defined Networking. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Springer. 557-568. Web.
Sarker, I. H., Kayes, A. S. M., Badsha, S., Alqahtani, H., Watters, P., & Ng, A. (2020). Cybersecurity data science: an overview from a machine learning perspective. Journal of Big data, 7(1), 1-29. Web.