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Papers by Asel Madiiarbekova

Research paper thumbnail of Sustainable Computing: Green Technologies in Cloud Infrastructure

Asel Madiiarbekova

As cloud computing continues to expand rapidly, its environmental impact has become a pressing co... more As cloud computing continues to expand rapidly, its environmental impact has become a pressing concern, particularly regarding energy consumption and resource utilization within data centers. This paper explores sustainable computing methods aimed at reducing the carbon footprint of cloud infrastructure, focusing on the integration of green technologies. I analyze the environmental impact of current cloud operations, highlighting key issues such as high energy demand, waste heat, e-waste, and limited renewable energy use. Subsequently, I examine innovative green solutions, including virtualization, energy-efficient hardware, advanced cooling technologies, and the adoption of renewable energy sources. The role of AI is emphasized as a transformative tool for optimizing energy use in data centers through intelligent workload management and AI-driven cooling systems. Furthermore, I discuss challenges in scaling these green technologies globally, addressing regulatory, financial, and technological barriers, and the need for collaboration across sectors. The study concludes with a future outlook on sustainable computing, including promising advancements like fusion energy and AI-managed energy systems, presenting a comprehensive framework for creating sustainable, eco-friendly cloud infrastructure. This framework aims to guide cloud service providers, policymakers, and technology stakeholders toward achieving sustainability goals in the digital economy.

Research paper thumbnail of Cybersecurity in IoT Devices Vulnerabilities, Risks, and Mitigation Strategies

Asel Madiiarbekova, 2024

The rapid proliferation of Internet of Things (IoT) devices has significantly transformed various... more The rapid proliferation of Internet of Things (IoT) devices has significantly transformed various sectors, providing enhanced automation and connectivity. However, the integration of these devices has introduced severe cybersecurity vulnerabilities, exposing users and organizations to increased risks. This paper examines critical security challenges in IoT, including weak authentication, encryption deficiencies, supply chain risks, and inadequate device lifecycle management. Through real-world case studies and incidents, we highlight the potential threats, such as data breaches, unauthorized access, and privacy violations, that IoT vulnerabilities pose. To address these issues, we propose mitigation strategies focusing on emerging technologies such as blockchain for decentralized identity management, post-quantum cryptography for data protection, and AI-powered security solutions for threat detection. Additionally, we underscore the need for industry-wide standardization and collaborative frameworks to establish robust security norms. Practical recommendations for enhancing IoT security are provided, aiming to guide organizations in implementing comprehensive defense mechanisms. The findings emphasize that while technology-driven solutions can significantly bolster IoT security, ongoing innovation and multi-stakeholder collaboration remain vital for safeguarding the future IoT ecosystem.

Research paper thumbnail of Sustainable Computing: Green Technologies in Cloud Infrastructure

Asel Madiiarbekova

As cloud computing continues to expand rapidly, its environmental impact has become a pressing co... more As cloud computing continues to expand rapidly, its environmental impact has become a pressing concern, particularly regarding energy consumption and resource utilization within data centers. This paper explores sustainable computing methods aimed at reducing the carbon footprint of cloud infrastructure, focusing on the integration of green technologies. I analyze the environmental impact of current cloud operations, highlighting key issues such as high energy demand, waste heat, e-waste, and limited renewable energy use. Subsequently, I examine innovative green solutions, including virtualization, energy-efficient hardware, advanced cooling technologies, and the adoption of renewable energy sources. The role of AI is emphasized as a transformative tool for optimizing energy use in data centers through intelligent workload management and AI-driven cooling systems. Furthermore, I discuss challenges in scaling these green technologies globally, addressing regulatory, financial, and technological barriers, and the need for collaboration across sectors. The study concludes with a future outlook on sustainable computing, including promising advancements like fusion energy and AI-managed energy systems, presenting a comprehensive framework for creating sustainable, eco-friendly cloud infrastructure. This framework aims to guide cloud service providers, policymakers, and technology stakeholders toward achieving sustainability goals in the digital economy.

Research paper thumbnail of Cybersecurity in IoT Devices Vulnerabilities, Risks, and Mitigation Strategies

Asel Madiiarbekova, 2024

The rapid proliferation of Internet of Things (IoT) devices has significantly transformed various... more The rapid proliferation of Internet of Things (IoT) devices has significantly transformed various sectors, providing enhanced automation and connectivity. However, the integration of these devices has introduced severe cybersecurity vulnerabilities, exposing users and organizations to increased risks. This paper examines critical security challenges in IoT, including weak authentication, encryption deficiencies, supply chain risks, and inadequate device lifecycle management. Through real-world case studies and incidents, we highlight the potential threats, such as data breaches, unauthorized access, and privacy violations, that IoT vulnerabilities pose. To address these issues, we propose mitigation strategies focusing on emerging technologies such as blockchain for decentralized identity management, post-quantum cryptography for data protection, and AI-powered security solutions for threat detection. Additionally, we underscore the need for industry-wide standardization and collaborative frameworks to establish robust security norms. Practical recommendations for enhancing IoT security are provided, aiming to guide organizations in implementing comprehensive defense mechanisms. The findings emphasize that while technology-driven solutions can significantly bolster IoT security, ongoing innovation and multi-stakeholder collaboration remain vital for safeguarding the future IoT ecosystem.