Data Encryption Strategy in Cloud Computing with Malware Detection

Mobile cloud computing provides network operators, cloud providers, and mobile users with vast computational resources by fusing mobile computing, cloud technologies, and wireless networks. Complex mobile apps may now function across several devices, with data processing and storage taking place off of mobile devices. Mobile cloud computing has become commonplace with the growth of large data and mobile devices. The cloud facilitates data management by processing and storing data. Data categorization, segmentation, encryption technique selection, key management, and safe data transit and storage are just a few of the modules that must be integrated into a privacy-centric data encryption strategy for big data in mobile cloud computing. Strategies like AES, FERNET, and RES have been modified to meet the demands of large data. These methods employ SQLite or metadata to store documents and create a hybrid cloud for users. Users have a time constraint on how long they have to supply an operational key in order to access files that require email OTP verification. In the age of mobile cloud computing, sensitive data may be protected with a strong privacy-centric data encryption approach by integrating these modules in an efficient manner.