Thursday 25th of April 2024
 

Implementation of Variable Least Significant Bits Stegnographyusing DDDB Algorithm


Sahib Khan, Muhammad Haroon Yousaf and Jamal Akram

Nobody can deny the importance of secure communication.Different techniques are being utilized to achieve this task. Image Stegnography is one such method in which we hide data in an otherwise ordinary image. In this paper, a novel Stegnographic technique named as Variable Least Significant Bits Stegnography (VLSB) is proposed. To implement VLSB, we designed an algorithm named as Decreasing Distance Decreasing Bits Algorithm (DDDBA). In each test we performed, the data hiding capacity was always greater than 50 % ( a barrier considered in image Stegnography), ranging up to 69 % with signal to noise ratio varying from 10 db to 5 db respectively. The DDDBA provides self encryption mechanism in VLSB Stegnography, making the Steganalysis more difficult.

Keywords: VLSB Stenography, DDDB Algorithm, Steganalysis, Key Size, Signal to Noise Ratio, Hiding Capacity

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ABOUT THE AUTHORS

Sahib Khan
Engr. Sahib Khan is pursuing M.Sc in Telecommunication Engineering at department of Telecommunication Engineering, Faculty of Telecommunication and Information Engineering, University of Engineering and Technology Taxila. He has B.Sc Telecommunication Engineering from NW.F.P University of Engineering and Technology Peshawar, Pakistan. He is serving as a Lecturer and Course Coordinator at department of Electrical and Computer Engineering, Kohat University of Science and Technology Kohat, Pakistan. His areas of interest are Digital Image Processing and Data Authentication and Information Security.

Muhammad Haroon Yousaf
Engr. Muhammad Haroon Yousaf is pursuing Ph. D. in Computer Engineering at University of Engineering & Technology Taxila, Pakistan. He got M.Sc. and B.Sc. in Computer Engineering in the years 2007 and 2005 respectively. He currently holds the position of Assist Prof in the Faculty of Telecommunication & Information Engineering. His research interests include gesture and activity recognition, human computer interaction, computer vision and machine learning. He, along with his students, is investigating face recognition based solution for automated attendance management system

Jamal Akram
Engr. Jamal Akram has done BSc Electrical Engg with Honours from University of Engg & Technology, Peshawar in 2000. He did his Masters in Computer Engg from University of Engg & Technology, Taxila in the year 2008. He has worked for more than 10 years in National Fertilizers Corporation & Pakistan Telecommunications Company Ltd. His areas of interest include Image Processing, Information Security, computer-vision and antenna design. Currently he is faculty member of Federal Urdu University Islamabad.


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