Rply for the inital post

1.

Welcome to this week’s update. It sounds so good that I am progressing well. Right? But it is not as progressive as you may be thinking. I would rather tell you that there is much to be done in the entire research paper than I could update my fellow colleagues with. Perhaps, I am writing my thesis statement this week. But damn it. It is so hard to gather specific information that would drive my research.

I had a challenge trying to understand what a thesis statement is. Actually, up to now, I am still struggling to accept the fact that the whole process of research awaits me. Behold, I am trying out to see that I make an extensive statement that would drive the lifeblood of the research topic. Better still, I am confident that I will come out as an experienced researcher after this research. As the saying goes, “human progress is neither automatic nor inevitable,” so does research require a lot of sacrifices, tirelessness, perseverance, and above all, readiness to learn (Roccisano, 2011). I am putting all my energy and mind into this paper, and I am certain that I will like it later.

One thing stands out when writing the thesis of my paper. That business transformation into globalization demands hyperconnected systems (Bauer, Hämmerle, Schlund & Vocke, 2015). Yes, for me, this is a valid statement. I totally argue that hyperconnected systems are the reason why businesses today have been elevated to another level of proliferation, commonly known as industry 4.0. However, there are few pieces of evidence that cybersecurity increases with increasing recognition of information technology systems in business

References

Bauer, W., Hämmerle, M., Schlund, S., & Vocke, C. (2015). Transforming to a hyper-connected society and economy–towards an “Industry 4.0”. Procedia Manufacturing, 3, 417-424.

2.

Research is always dependent on empirical evidence brought about by researchmethods which supports hierarchy of evidence. It will bring about research methods fordiscussion supporting preferences as well as belief for information to be used. The purpose isto ensure discovery in continuum for historical review of investigations. Cyber securityresearch is categorized into (1) theoretical and (2) simulation. Two areas of such research are– cryptography and cryptanalysis using computational context, security, mathematics andlinguistics. When studying an interdisciplinary nature of work, key areas of research include– definition of abstract concepts, mathematical as well as computational models. Based onsuch developments - thought exercises as well as predictions are completed. Hence, themethod adopted by the researcher, simulation or theoretical will be based on the resourcesavailable. Researchers have found that the new revolution called Industry 4.0 is due tointerfacing of several industrial system using internet communication technologies, especiallyin manufacturing organizations or smart factories. However, the inherent cybersecurity issuesin traditional internet technologies will persist apart from new range of security as well asprivacy challenges (Thames & Schaefer, 2017).

To address issues of cybersecurity researchers such as Lezzi,Lazoi & Corallo (2018)have used systematic literature review acquire data for the study. The primary focus is toinvestigate the primary elements in cybersecurity like system vulnerabilities, cyber attacks,countermeasures, risks as well as cyber threats in industrial contexts using industrial systemssuch as plants and shop floors when they are connected to the internet. The analysis from datacollected include definitions of cybersecurity in the context of Industry 4.0 for analysis ofstudies as a industrial focus, with cybersecurity characterization in terms of managing issuesrelated to cybersecurity. By using literature review analysis, framework developed withrespect to main features such as characterization of every area is well discussed and will also

provide evidence of interest to be used in research and other application (Lezzi,Lazoi &Corallo, 2018).

Another view point is when organizations, from non government sector collect datawhich is largely in the category of socioeconomic conditions as well as medical data which isunaffected or unintentional. The key factor in such data collection is for the organization tohave an attitude of confidentiality when collecting data. Data should be governed byintegrity, availability for work collaboration to be supportive in the case of computer securityas well as ICTD research based work. Such authors are also known to collect data forexploring privacy and security attitudes. It is also necessary for Open Data Kit (ODK)platform which is digital data collection platform to be developed for the same. Amethodology used is ‘threat modelling’ which is an exercise to inform threat potential forsecurity and will also conduct analysis and survey in terms of interviews across thetechnology experts to develop real deployment opportunities (Flatt, Schriegel, Jasperneite,Trsek & Adamczyk, 2016).

References

Flatt, H., Schriegel, S., Jasperneite, J., Trsek, H., & Adamczyk, H. (2016, September).Analysis of the Cyber-Security of industry 4.0 technologies based on RAMI 4.0 andidentification of requirements. In 2016 IEEE 21st International Conference onEmerging Technologies and Factory Automation (ETFA) (pp. 1-4). IEEE.Lezzi, M., Lazoi, M., & Corallo, A. (2018). Cybersecurity for Industry 4.0 in the currentliterature: A reference framework. Computers in Industry, 103, 97-110.

Manogaran, G., Thota, C., Lopez, D., & Sundarasekar, R. (2017). Big data securityintelligence for healthcare industry 4.0. In Cybersecurity for Industry 4.0 (pp. 103-126). Springer, Cham.Thames, L., & Schaefer, D. (2017). Cybersecurity for Industry 4.0 and advancedmanufacturing environments with ensemble intelligence. In Cybersecurity forIndustry 4.0 (pp. 243-265). Springer, Cham.