Friday 26th of April 2024
 

An Efficient Neural Network Based Algorithm for Detecting Steganography Content in Corporate Mails: A Web Based Steganalysis


P. T. Anitha, M. Rajaram and S. N. Sivanandham

Steganography refers to information or file that has been concealed inside a digital media. Steganalysis is used to detect and/or estimate potentially hidden information from observed data with a little or no knowledge about the steganography algorithm and its parameters. Current trend in steganalysis seems to suggest two extreme approaches (a) little or no statistical assumption about the image under investigation. Statistics are learnt using a large database of training image and (b) a parametric model is assumed for the image and its statistics are computed for steganalysis detection. This research developed a new hybrid approach which comprises of neural network and S-DES encryption scheme which is used to detect the stego content in corporate mails. In this research work we implemented the combination of Compression, Encryption, Steganography to enhance the security of the data sent and Steganalysis methods which will detect the stego content in corporate emails. This method will be used to enhance the security measures of corporate mails.

Keywords: Steganalysis, S-DES, LSB, Stego, Steganography, information hiding, neural network

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ABOUT THE AUTHORS

P. T. Anitha
Ms. P T Anitha received B.Sc. Computer Applications and Master of Computer Applications degree from Bharathiar University in 1993 and 1996 respectively. At present working as an Assistant Professor in the department of MCA, Karpagam College of Engineering, Coimbatore. I am Pursuing Doctorate degree in computer Science under the guidance of Dr. M. Rajaram, Vice Chancellor of Anna University of Technology, Tirunelveli, Tamilnadu, India. My area of research is Steganalysis. Four papers are published in International conferences, 2 papers in International Journals and 11 in national conferences. My area of research is Steganalysis. Currently I am working to improve the performance of the steganalysis algorithms used in corporate E-mails.

M. Rajaram
Dr. M. Rajaram, M.E., Ph.D., is a Professor and Head in Electrical and Electronics Engineering and Computer Science and Engineering in Government College of Engineering, Tirunelveli. He received B.E Degree in Electrical and Electronics Engineering from Madurai University, M.E and PhD degree from Bharathiyar University, Coimbatore, in 1981, 1988 and 1994 years and his research interests are Computer Science and engineering, electrical engineering and Power Electronics. He is the author of over 120 Publications in various International and National Journals. 7 PhD scholars and 10 M.S (By Research) Scholars have been awarded under his supervision. At present, he is supervising 12 PhD Scholars. Further Dr. Rajaram has become the Vice-Chancellor of Anna University of Technology, Tirunelveli, Tamilnadu, India.

S. N. Sivanandham
Dr. S. N. Sivanadam completed his B.E (Electrical and Electronics Engineering) in 1964 from Government College of Technology, Coimbatore and M. Sc. (Engineering) in power system in 1966 from PSG College of Technology, Coimbatore (University Second Rank). He acquired Ph.D. in Control Systems in 1982 from Madras University. He has received the Best Teacher Award in the year 2001 and the Dhakshina Murthy Award for teaching Excellence from PSG College of Technology. He received the CITATION for best Teaching and Technical contribution in the year 2002, Government College of Technology, Coimbatore. He has teaching experience (UG and PG) of over 44 years. The total number of undergraduate and postgraduate projects guided by him for both Computer Science and Engineering and Electrical and Electronics Engineering is around 950. Formerly he was a Professor and Head for the departments EEE and CSE, PSG College of technology, Coimbatore. Further he was a coordinator for seven government funded projects. Dr. Sivanandam has co-authored 14 books. He has delivered around 100 special lectures of different specializations in Summer/Winter schools and also in various Engineering Colleges. He has guided 32 Ph.D. research works and at present 10 Ph.D. research scholars are working under him. The total number of technical publications credited to him in various National and International journals and Conferences is around 750. He has chaired 12 International and 12 National Conferences. He is a member of various professional bodies like IE (India), ISTE, CSI, ACS, SSI and IEEE. He is a Technical Advisor to various reputed industries and reputed engineering Institutions. His research areas include Modelling and Simulation, Neural Networks, Fuzzy Systems and Genetic Algorithms, Pattern Recognition, Multi-dimensional System Analysis, Linear and Non-Linear Control Systems, Signal and Image Processing, Power Systems, Numerical Methods, Parallel algorithms, Data mining and Database Security.


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