CLOUD COMPUTING

DESIGN AND IMPLEMENTATION OF AN ENCRYPTION AND MULTIFACTOR AUTHENTICATION SYSTEM FOR CLOUD ENVIRONMENT

Author(s)
Year of Publication
Publication Type
Abstract
Cloud computing has revolutionized the way businesses manage their IT infrastructure, offering scalable, cost-effective, and flexible solutions. However, as organizations migrate to the cloud, cybersecurity becomes a critical concern. This paper explores how cloud computing enhances cybersecurity for businesses by leveraging advanced security mechanisms such as encryption, multi-factor authentication, artificial intelligence (AI)-driven threat detection, and automated compliance management. Cloud service providers (CSPs) offer robust security frameworks, including real-time monitoring, distributed denial of service (DDoS) protection, and secure access controls, reducing the risk of cyber threats. Additionally, cloud-based security facilitates disaster recovery, data loss prevention, and regulatory compliance, strengthening overall business resilience. While cloud computing introduces new security challenges, implementing best practices and leveraging CSP security measures can significantly enhance an organization's cybersecurity posture. This study highlights the benefits, challenges, and future trends of cloud computing
in securing business operations against evolving cyber threats. To this purpose, this project designs and implements an encryption and multi-factor authentication system for cloud computing environments using a two-factor authentication approach: first-factor authentication via user ID/email and password, and second-factor authentication via OTP sent to user email. The system is developed using HTML, CSS, JavaScript, and Viejas for the front-end, Laravel and PHP for the backend, and MySQL for the database.
Supervisor(s)
co-supervisor

DESIGN AND IMPLEMENTATION OF AN ENCRYPTION AND MULTIFACTOR AUTHENTICATI

Author(s)
Year of Publication
Publication Type
Abstract
Cloud computing has revolutionized the way businesses manage their IT infrastructure, offering scalable, cost-effective, and flexible solutions. However, as organizations migrate to the cloud, cybersecurity becomes a critical concern. This paper explores how cloud computing enhances cybersecurity for businesses by leveraging advanced security mechanisms such as encryption, multi-factor authentication, artificial intelligence (AI)-driven threat detection, and automated compliance management. Cloud service providers (CSPs) offer robust security frameworks, including real-time monitoring, distributed denial-of service (DDoS) protection, and secure access controls, reducing the risk of cyber threats. Additionally, cloud-based security facilitates disaster recovery, data loss prevention, and regulatory compliance, strengthening overall business resilience. While cloud computing introduces new security challenges, implementing best practices and leveraging CSP security measures can significantly enhance an organization's cybersecurity posture. This study highlights the benefits, challenges, and future trends of cloud computing in
securing business operations against evolving cyber threats. To this purpose, this project designs and implements an encryption and multi-factor authentication system for cloud computing environments using a two-factor authentication approach: first-factor authentication via user ID/email and password, and second-factor authentication via OTP sent to user email.
The system is developed using HTML, CSS, JavaScript, and VueJS for the front-end, Laravel and PHP for the backend, and MySQL for the database.
Supervisor(s)
co-supervisor

RESOURCE ALLOCATION IN THE CONTEXT OF CLOUD COMPUTING

Year of Publication
upload
Publication Type
Abstract
Cloud computing has revolutionized the way resources are allocated and utilized in the IT
industry. Efficient resource allocation is crucial for optimizing cost, performance, and reliability in cloud environments. This project aims to explore the various resource allocation strategies, challenges, and optimization techniques in the context of cloud computing. We will analyze different cloud service models and deployment models, and evaluate their impact on resource allocation. Additionally, we will develop a resource allocation algorithm and conduct experiments to assess its performance.
Supervisor(s)
co-supervisor