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L Anjaneyulu

Work place: Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India

E-mail: anjan@nitw.ac.in

Website:

Research Interests: Engineering, Logic Circuit Theory, Logic Calculi, Computer Networks, Neural Networks

Biography

L.Anjaneyulu was born in 1967 in India. He obtained his B.Tech (ECE) in 1989 from Nagarjuna University, India, M.Tech from R.E.C (N.I.T), Warangal, India in 1991 and Ph.D in 2010 from N.I.T, Warangal, India. He worked as Project Officer at Institute of Armament Technology, Pune, India for 5 years from 1991 and involved in the design of Surface borne and Air-borne Radar systems for clutter measurement application. Later, he worked as Staff Scientist at Helios Systems, Madras, India for 2 years and engaged in the development of Radio Wave propagation assessment software modules for ship-borne radars. His areas of interest include Computer Networks, Electromagnetic Field Theory, Microwave & Radar Engineering, Neural Networks & Fuzzy Logic Systems. He has completed few defence R&D Projects and has 25 papers to his credit in National and International Conferences and journals. Dr. Anjaneyulu is a reviewer for Defence Science Journal, New Delhi. He has conducted several short term training programs as a coordinator in the areas of Computer Networks, Microwave and Radar engg, Electromagnetic Fields. He is a Life member of ISTE and a member of IEEE

Author Articles
A 3-Level Secure Histogram Based Image Steganography Technique

By G V Chaitanya D Vamsee Krishna L Anjaneyulu

DOI: https://doi.org/10.5815/ijigsp.2013.04.08, Pub. Date: 8 Apr. 2013

Steganography is an art that involves communication of secret data in an appropriate carrier, eg. images, audio, video, etc. with a goal to hide the very existence of embedded data so as not to arouse an eavesdropper's suspicion. In this paper, a steganographic technique with high level of security and having a data hiding capacity close to 20% of cover image data has been developed. An adaptive and matched bit replacement method is used based on the sensitivity of Human Visual System (HVS) at different intensities. The proposed algorithm ensures that the generated stego image has a PSNR greater than 38.5 and is also resistant to visual attack. A three level security is infused into the algorithm which makes data retrieval from the stego image possible only in case of having all the right keys.

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