Browsing by Author "Keter, Edwin K."

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    A linear regression model of secure remote access to enterprise networks by employees: a case study of Kericho county
    (KCA University, 2024) Keter, Edwin K.
    The Covid-19 pandemic has made working from home the usual practice for many companies and organizations around the world. While remote work has provided flexibility and kept things running during unusual times, it has also given criminals new chances to take advantage of weaknesses, causing serious cyber-attacks like scams, fake emails, and hacking. Protecting remote work systems is now more important than ever. This study looks at how people working from home handle security problems, develops a special security plan for remote work, and checks if it works well. The study used a survey to gather information about corporate networks and weaknesses in remote access. Data was collected from teleworkers at different levels within organizations to find out what affects remote access security. The process of collecting and analyzing the data was well-organized, and the results were checked using a statistical method called Ordinary Least Squares (OLS) linear regression. This made sure the findings were reliable and accurate. The research found six important things that affect secure remote access: Technology, Organizational Factors, Employees, Monitoring & Evaluation, Resource Management & Controls, and Data Protection & Monitoring. These six areas together form a guide for companies to improve their information security while allowing employees to work remotely. The OLS linear regression analysis showed that the model can predict remote access security well, with an Adjusted R-squared value of 0.634. This means that the six independent variables explain 63% of the changes in remote access security. ANOVA tests also confirmed that these variables are statistically significant for predicting remote access security. This research is important for organizations that use county and enterprise networks. The study suggests that organizations should use strong security measures, such as secure devices, employee training, ongoing monitoring, and better management of resources. By following these recommendations, organizations can reduce cybersecurity risks and create safe and efficient remote work settings. This research presents a complete and proven model for teleworking security, designed to handle the special problems caused by working from home during the Covid-19 pandemic. The model provides a useful way for companies to protect their computer networks from increasing cyber dangers. By focusing on safe systems and keeping an eye on potential issues, the study helps improve remote work methods and makes sure companies can stay strong against ongoing cybersecurity problems.