OBJECT ORIENTED METRIC BASED ANALYSIS OF TEXT TRANSMISSION IN E-LEARNING THROUGH NATURAL LANGUAGE STEGANOGRAPHY

  • Soumendu Banerjee Research Scholar, Department of Computer Science, The University of Burdwan, Burdwan, West Bengal, India
  • Kh Amirul Islam Research Scholar, Department of Computer Science, The University of Burdwan, Burdwan, West Bengal, India
  • Sunil Karforma Professor, Department of Computer Science, The University of Burdwan, Burdwan, West Bengal, India
  • Akash Nag Research Scholar, Department of Computer Science, The University of Burdwan, Burdwan, West Bengal, India
Keywords: Text Steganography, SNOW algorithm, Class hierarchy diagram, Object Oriented Metrics

Abstract

E-learning is an application of information and communication technology in the field of learning. Through steganography the e-learning institution can provide security to other participants of e-learning like teacher and learner. Here we use text steganography with modified SNOW algorithm while passing secret texts from the administrator to the learner in an e-learning system. In this paper, we calculate the object oriented metric based analysis of CK and MOOD metrics of our proposed model, which ensures the advantages of code redundancy, code reusability, and cost effectiveness and so on.

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References

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Published
2017-11-30
How to Cite
Banerjee, S., Islam, K. A., Karforma, S., & Nag, A. (2017). OBJECT ORIENTED METRIC BASED ANALYSIS OF TEXT TRANSMISSION IN E-LEARNING THROUGH NATURAL LANGUAGE STEGANOGRAPHY . International Journal of Engineering Technologies and Management Research, 4(11), 68-74. https://doi.org/10.29121/ijetmr.v4.i11.2017.125