Secure Cloud Storage Using Color Code in DNA Computing

Autor:	Yu-Lin Song, Hsing-Chung Chen, Saravanan Manikandan, Islam M. D. Saikhul
Rok vydání:	2021
Předmět:	Security analysis business.industry MAC address Computer science Cloud computing Encryption ASCII Computer security computer.software_genre Key (cryptography) business Cloud storage computer Color code
Zdroj:	Advances in Networked-Based Information Systems ISBN: 9783030849122 NBiS
Popis:	Now a days the cloud computing became a trend of storage, computational power, and other advanced services. Already 90% of the companies are on the cloud, more and more corporate data and public data are being stored in the cloud. Nearly two-third of organizations see security as the tremendous challenge for cloud adoption. So now a days there are lot of research going on to reduce the security risk of storing confidential data over the cloud. In this research we introduced a novel encryption method to secure the data in the cloud using the color code encryption and the well-known DNA computing method. Here we used a 1024-bit encryption key to store the data in the cloud. This key has been designed by using the 256-RGB Color codes, User’s attributes like MAC address and personal data, decimal encoding, ASCII values and DNA bases with complementary rules. The Security analysis of the algorithm is discussed in this research.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::84a204e2fe05db7f25a636245c8b7e7f https://doi.org/10.1007/978-3-030-84913-9_10 Zobrazit plný text záznamu