Security for confidential digital information has been an essential business in today’s world. With increase in the efficiency of technology dealing with data hiding as well as extraction, it is very necessary to overcome the every day’s growing technologies that can affect the confidentiality of the data. Steganography is an effective technique to hide confidential data which can be a text, audio or video by using a digital media as the communication channel. The prime aim is to reduce the distortion which occurs after hiding a text inside a cover image. Several algorithms have been developed to reduce the changes in the sum of costs of the pixels which is known as a function of distortion. Previously implemented algorithms are mainly concerned about reducing the changes in the embedded image by updating the costs of the pixels of the entire image at once. Though these algorithms are proven to be secure, the proposed strategy is an enhancement to the existing schemes. In this approach the changes in the neighborhood pixels are taken into picture. The orders in which the pixel are modified are grouped together to form a cluster and rest of the pixel costs are updated in such a manner that they are modified in the same order. This proposed Strategy is a simple but an effective strategy to update the cost of the pixels by following it. As a result of which the embedding area looks more uniform and does not catch attention of the steganalyzer. Therefore this strategy is simulated using Matlab 2016a (Academic version) simulation tool and Matlab programming language. © 2016, International Journal of Pharmacy and Technology. All rights reserved.