A novel Genetic Algorithm based Encryption Technique for Securing Data on Fog Network Using DNA Cryptography

The data generated by the intelligent systems is enormous, hence storing and analyzing it over the cloud environment is a wise decision. However, most state of the art applications demands minimal network latency in the network so that the response can reach the user within fraction of seconds. To meet this requirement, fog computing came into existence, where computing and analysis of data is carried out at the fog nodes instead at the cloud. In such a scenario, security is of utmost concern since each fog node and each IoT device generating the data is vulnerable to attack. Industries such as healthcare in particular, need to practice security measures because it contains Patient's Identifiable Information (PII). Encryption is one of the most effective techniques to provide security to data. Various encryption techniques are available but they all suffer from some limitations. In this paper, a new encryption technique is proposed, which is based on genetic science and works in two phases. In the first phase, the plaintext is converted to a complex cipher text by making use of a complicated key. The key is randomly selected from the DNA population and is made further complex by using logical operators. The cipher text obtained in the first phase is made more impenetrable in the second phase, by using genetic science principles of crossover and mutation. The simulation and results of the proposed technique indicate that it provides more security to the data as compared to the existing encryption techniques.