OO metric analysis of optimally sparse LSB-based steganography in E-learning environment

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.