Data Leakage Detection in Cloud Computing Environment

Proposing a technique for detecting data leakage in cloud computing settings is the purpose of this research article.The suggested method for detecting data leakage is a hybrid one, including elements of dynamic as well as static analysis.While dynamic analysis is performed during runtime to discover real data leakage, static analysis is done on the source program to identify possible data leakage sites.Finding vulnerable data flows and unsafe storage or transmission techniques is the goal of the static analysis step, which entails parsing the source code.A thorough comprehension of the application's information handling capabilities may be achieved with the use of this study.The dynamic analysis method, in contrast, watches how the program acts while it's running in order to find instances of data leakage or unauthorized access.The suggested technique combines the two methods in an effort to improve the security of sensitive data handled and stored in the cloud by detecting breaches of privacy in cloud computing environments.