STUDY AND IMPLEMENTATION OF SECURE NOISELESS GRAPH STEGANOGRAPHY BASED ON MULTIMEDIA COVER TO INCREASE SECURITY AND MESSAGE CAPACITY

• Main Author: FIRMAN ASHARI (NIM: 23516028), ILHAM
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/27974
• Institution: Institut Teknologi Bandung

<p align="justify"> <br /> <br /> Information is a very important asset, so it takes effort to maintain the confidentiality, integrity, and availability of such information. Cryptography and steganography methods can be combined to improve information security. Steganography is divided into two types, namely noisy steganography and noiseless steganography. Noisy steganography has some disadvantages such as generate noise and require media or container, while noiseless steganography or nostega will not produce noise on the cover, and does not need a container media. <br /> <br /> This research proposes one of Nostega technique that is Graph Steganography or Graphstega. Graphstega is a technique that inserts messages as plotted data on a graph. Pre-implemented graphstega techniques still contain vulnerabilities in data security including lack of reality data plot due to too large gaps between plot data, the message is limited so that it can overlap on the plot, and limitations of message distribution by using only text cover (excel cover). <br /> <br /> The focus of this research is to produce a graphstega encoding method that enhances data security by encrypting plot data, the value of plot data becomes more realistic, reduce the memory load when rendering the image, and increase message capacity without causing an overlapping plot on graphstega with data splitting techniques, setting the image resolution, setting the font size on the plot, and implementing graphstega on some cover types such as text cover, image cover, and hardcopy image. <br /> <br /> The results obtained from the proposed encoding method can improve data security, improve data reality, reduce the plot ratio gap, increase message capacity without increasing memory usage when rendering image, and can be implemented in several cover types such as excel files, image files and hardcopy images so that message distribution increases. <br /> <p align="justify">