Data security is an important aspect of information systems, especially in the widely used windows operating system environment. Modern encryption technology offers a variety of ways to increase data protection from security threats. This method utilizes literature insights and comparative analysis of various cryptographic techniques applied to the Windows operating system. Data sources were obtained from academic journals, books and technical documents from Microsoft and cyber security institutions. This article describes various modern cryptographic techniques that can be applied to the Windows operating system, including symmetric and asymmetric algorithms and end-to-end encryption. Protocol implementation security. This research also examines the effectiveness of cryptographic techniques in overcoming cyber security threats and provides the best recommendations for improving data security. It also provides a comparative analysis of various cryptographic techniques implemented in Windows operating systems. This study shows that evaluating encryption techniques can help overcome cyber threats and provide optimal solutions to improve data security. Data sources were obtained from academic journals, books, and technical documents from Microsoft and cyber security.

In the context of rapidly evolving mobile technology, memory management has become an important aspect that determines the efficiency and effectiveness of Android operating systems, particularly on mid- range smartphones. The objective of this research is to identify, analyze and develop memory management strategies that can improve the performance of the Android operating system on resource-constrained devices. Using an experimental approach, this study evaluates various memory management techniques, including the use of optimized caches, memory compression, and page replacement algorithms, to determine the most effective combination to improve system responsiveness and performance. The results show that the implementation of appropriate memory management strategies can significantly improve operating system performance and user experience while extending battery life. These findings provide valuable information for application developers and device manufacturers to optimize their products for mid-range smartphone competition.

The development of quantum computing presents new challenges to the security of data stored and processed by today's computer systems. Quantum computers have the ability to perform calculations at very high speeds, which could threaten the security of currently used encryption algorithms. Therefore, steps are needed to design and implement an operating system that is able to protect data from quantum computing threats. Ubuntu Linux version 22.04, as one of the leading open source Linux distributions, offers high-level security features. To face the era of quantum computing, it is necessary to carry out special development and implementation of this operating system. This research aims to improve the security of the Ubuntu Linux operating system version 22.04 so that it can withstand quantum computing attacks by designing and implementing a quantum-resistant cryptography protocol and testing the security and performance of the resulting system. This research method uses a qualitative approach and research and development (R&D) with literature studies. The research results show that the integration between Liboqs and OpenSSL on Linux Ubuntu 22.04 successfully implements a cryptographic algorithm that is resistant to quantum computing. Although there is a slight performance increase due to the additional overhead of the quantum algorithm, the security of the system in protecting data from quantum computing attacks is proven to be well maintained.
 
 

Exploring the concept of the Windows serverless operating system as a solution in the development and deployment of modern applications. Through a quantitative approach, this study evaluates how serverless technology can improve efficiency, reduce costs, and speed up the application development process. Using case studies and data analysis, this study provides practical guidance for developers and organizations in adopting serverless architectures in Windows environments.
 
 

This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.