Cloud Eye: A Tool to Secure Text, Images and Audios Using Steganography

With the increasing need for secure communication and storage of sensitive data in various formats like text, audio and images, there is a growing concern for protecting this information from unauthorized access or data breaches. Although encryption techniques are widely used for secure data transmission, they may not be sufficient for hiding data in plain sight. The proposed approach addresses the challenge of securing sensitive data in text, audio and image formats by implementing robust steganography and encryption techniques while ensuring seamless data storage and data monitoring in cloud storage platforms like Amazon S3. The proposed approach utilizes the least significant bit (LSB) steganography method, where the least significant bit of each pixel or sample in the media is replaced with a bit of the personal data, ensuring minimal visual or audible changes. The proposed approach will be designed to embed secret messages into carrier data using steganography algorithms and encrypt the resulting data using a symmetric key. The encrypted data will be stored in an Amazon S3 bucket for secure storage, and the entire bucket will be monitored using Dynatrace for performance and security analysis. The proposed approach received 90% of security breaches, indicating the monitoring system is highly accurate. Further, the approach could reduce the response time from 5 to 2 s and increase the throughput from 100 requests per second to 500 requests per second.