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Securing the future of remote work: Novel cyber threat mitigation strategies

The business environment has been greatly changed by the COVID-19 pandemic, accelerating the shift to remote work and increasing organizations' susceptibility to cyber threats. Conventional security approaches that concentrate on perimeter defense have been ineffective in addressing the challenges of remote work environments. This thesis examines new risk mitigation strategies for addressing cyber threats, focusing on implementation and effectiveness of zero-trust security frameworks. This study uses a mix of qualitative and quantitative research methods, including whitepapers analysis and expert questionnaires, to identify significant cybersecurity threats linked to remote work. It assesses the effectiveness of zero-trust principles and explores cybersecurity professionals' perception and understanding. The results show that adopting a zero-trust framework greatly improves an organization's security posture by implementing stringent access controls and continuous monitoring, reducing risks like breaches, phishing attacks, and other cyber threats. Furthermore, the research emphasizes the difficulties of zero-trust architectures implementation, such as the required cultural shifts within organizations and technical requirements.

Author: Jana Kudinova

Supervisor: Mihails Savrasovs

Degree: Master

Year: 2024

Work Language: English

Optimizing Product Cost in Supply Chain

Optimizing product cost through simulation modeling offers a powerful approach to enhancing cost efficiency and decision-making in product development and manufacturing. Simulation modeling allows businesses to create detailed virtual representations of their processes, enabling them to experiment with different scenarios and strategies without the risks associated with physical trials. Simulation modeling supports iterative testing and optimization, allowing for the refinement of product designs and manufacturing processes. Ultimately, this approach enhances the ability to make informed, data-driven decisions, leading to more effective cost management and improved profitability. This abstract highlights the value of simulation modeling in optimizing product cost, emphasizing its role in providing actionable insights and fostering strategic improvements.

Author: Sofiya Andryuk

Supervisor: Mihails Savrasovs

Degree: Professional Bachelor

Year: 2024

Work Language: English

Research on Software Development Aspects Using node.js Technology

To explore the aspects of software development, an application was created using Node.js and NestJS to build a REST API. This API integrates Google Natural Language AI to analyze submitted user reviews. The application includes multiple REST API endpoints that can process, analyze, and aggregate user review data. Performance measurements were conducted, analyzing event loop latency, memory and CPU usage, and other key metrics. MongoDB was used for data storage. The work also includes API and its performance evaluation. The system was tested to ensure it meets the set criteria and provides practical application.

Author: Valērijs Sergejevs

Supervisor: Mihails Savrasovs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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