Object Oriented Metric Based Analysis of Space Efficient LSB Based Steganography Including Compression for Securing Transmission of E-learning Documents

Abstract

Transmission of documents in an e-learning system should be in a very secure manner; otherwise, if the hacker can reach the documents, they can edit or destroy the documents. In our proposed model, we have used the Least Significant Bit (LSB) based Steganography technique for hiding along with the Haar wavelet transform and PackBits algorithm for the compression. Using this model, the sender can send their material after compression, which is space efficient, and LSB steganography technique will also provide security and authenticity. Through object oriented analysis of any system, all the advantages of an object oriented approach like data redundancy, reusability, data hiding, encapsulation and polymorphism etc. can be achieved. Though there are so many types of object oriented metric analysis proposed by Lorenz and Kidd, Harrison, Counsell and Nithi etc., here we will limit our discussion on Chidamber and Kemerer metric (CK metric) and Metric for Object Oriented Design metric (MOOD metric) based on the class hierarchy diagram regarding the transmission of study material from the teacher to learner in an e-learning system.

Authors and Affiliations

Soumendu Banerjee, Sunil Karforma

Keywords

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  • EP ID EP240291
  • DOI -
  • Views 81
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How To Cite

Soumendu Banerjee, Sunil Karforma (2017). Object Oriented Metric Based Analysis of Space Efficient LSB Based Steganography Including Compression for Securing Transmission of E-learning Documents. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ), 7(4), 11-18. https://europub.co.uk/articles/-A-240291