International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 182 - Number 20 |
Year of Publication: 2018 |
Authors: Wafaa Hanna Zaki Sharaby |
10.5120/ijca2018917979 |
Wafaa Hanna Zaki Sharaby . Improving Image Steganography using a Proposed Mutated Levy-Flight Firefly Algorithm. International Journal of Computer Applications. 182, 20 ( Oct 2018), 23-29. DOI=10.5120/ijca2018917979
Today's data transmission over an unsecure channel has increased widely. There is a crucial need to some security measures to transmit our data securely. Steganography is an art of "invisible" communication. In steganography the secret message is concealed inside other media cover such as text, image, video and audio form. Firefly Algorithm (FA), metaheuristic algorithm has been used for solving various optimization problems. In this study, Levy flight firefly algorithm (LFA) is employed to solve the problem of 24-bit color image steganography. In the proposed approach, firefly algorithm is initialized with a population of fireflies which will carry each secret byte in the form of different patterns based on rotated reversed method to improve the search process and enhance the security issue. During the iterations, the pattern of the more attractive (brighter) firefly