Designing a Robust Security Framework for Safeguarding Cloud Computing Environments in the Age of Cyber Threats

Abstract

As online threats grow, it is very important to keep cloud computer settings safe. This paper suggests a complete security system that will keep cloud platforms and data safe from different threats. To make a multi-layered defense system, the framework combines a number of important parts, such as encryption methods, access control systems, and intruder detection systems. Strong encryption methods, like AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman), are at the heart of the system. They protect the privacy and security of data. Strong key management techniques go along with these methods to keep encryption keys safe and stop people from getting in without permission. Based on the principle of least privilege, access control methods are very important for making sure that only the right people can use resources. Tough access rules are put in place with role-based access control (RBAC) and attribute-based access control (ABAC). In addition, the framework has an intrusion detection system (IDS) that constantly checks cloud settings for any strange activity. Machine learning techniques are used by the IDS to find and stop possible threats in real time. This security strategy covers all aspects of protecting cloud computing settings and adapts to the changing nature of cyber dangers. By using this framework, businesses can make their cloud systems safer and keep private data safe from threats and people who aren't supposed to see it.