Title | Security Improvement of Cloud Data Using Hybrid Cryptography and Steganography |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Abbas, M. S., Mahdi, S. S., Hussien, S. A. |
Conference Name | 2020 International Conference on Computer Science and Software Engineering (CSASE) |
Date Published | apr |
Keywords | AES symmetric encryption, asymmetric cryptography, Asymmetric Encryption, cloud computing, cloud data, cloud environment, cloud storage, composability, compressed data, data compression, data encryption phase, data storage, data validation phase, encrypted data, Encryption, hashing functions, Human Behavior, hybrid encryption, Image coding, image processing, information concealment technology, information technology, LSB algorithm, LZW algorithm, Metrics, mixed encryption, pubcrawl, public key cryptography, Resiliency, RSA asymmetric encryption, security improvement, security issue, SHA hashing algorithm, Software algorithms, Steganographic, steganography, strong data security, symmetric cryptography |
Abstract | One of the significant advancements in information technology is Cloud computing, but the security issue of data storage is a big problem in the cloud environment. That is why a system is proposed in this paper for improving the security of cloud data using encryption, information concealment, and hashing functions. In the data encryption phase, we implemented hybrid encryption using the algorithm of AES symmetric encryption and the algorithm of RSA asymmetric encryption. Next, the encrypted data will be hidden in an image using LSB algorithm. In the data validation phase, we use the SHA hashing algorithm. Also, in our suggestion, we compress the data using the LZW algorithm before hiding it in the image. Thus, it allows hiding as much data as possible. By using information concealment technology and mixed encryption, we can achieve strong data security. In this paper, PSNR and SSIM values were calculated in addition to the graph to evaluate the image masking performance before and after applying the compression process. The results showed that PSNR values of stego-image are better for compressed data compared to data before compression. |
DOI | 10.1109/CSASE48920.2020.9142072 |
Citation Key | abbas_security_2020 |