OO Metric Analysis of Optimally Sparse LSB-Based Steganography in E-Learning Environment
Soumendu Banerjee1, Sunil Karforma2

1Soumendu Banerjee, Assistant Professor, Department of Computer Science, St. Xavier’s College, Burdwan.W.B. (India)
2Sunil Karforma, Professor, Department of Computer Science, The University of Burdwan.W.B. (India)

Manuscript received on 24 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 2612-2615 | Volume-8 Issue-11, September 2019. | Retrieval Number: K19110981119/2019©BEIESP | DOI: 10.35940/ijitee.K1911.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In an e-Learning environment, the communication between sender and receiver has been done via Internet. In general, while the sender sends their important documents to receiver through Internet, he/she encrypts the document which is decrypted by the receiver(s) at their end. In case of large images, decryption causes some sort of distortion, which may be overcome through our proposed model. The object oriented analysis of a system helps to make better understanding and cop up with the real world. The main characteristics of object oriented metric analysis are data hiding, data encapsulation, data abstraction, polymorphism etc. Here we calculate the values of different metrics like CK and MOOD metrics based on the class diagram of our proposed model regarding the transmission of documents from administrator to learner.
Keywords: E-Learning, LSB based steganography, class hierarchy diagram, CK metric, MOOD metric
Scope of the Article: e-governance, e-Commerce, e-business, e-Learning