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With increasing popularity of web based learning, it is required to design the web layout to reduce cognitive load. Cognitive load theory is widely used to predict the effectiveness of the web based and multimedia learning. The cognitive load induced by instructional and multimedia modes are measured by indirect or subjective methods. Questionnaires are one common form of measuring cognitive load indirectly. In this paper, a questionnaire is prepared to identify the cognitive load of the student and his website preferences in a web learning environment. The cognitive attributes are used as the training input for the Naïve Bayes, Classification Regression Tree(CART), Random Forest and Random Tree for classification. Based on the response of the user, areas for improvement in layout of the web learning system are identified.

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This Research paper focused on Classification accuracy based on Users' Preferences from the Web Learning System. This comparative study considers various classification algorithms like j48, Random Tree, Random Forest, CART and Naive Bayes in the Web Learning System. It also focuses on Artificial Neural Network (ANN) algorithms. The classification accuracy is identified by user's requirements based on the cognitive input. In this research Neural Network approach like MLP, PMLP, GO PMLP and PSO PMLP algorithms are proposed and validated. These algorithms classify the user preferences of the Web Learning System. As the User Preferences have many potential applications, mining on the User Preferences of the Web Learning System users was contemplated. Based on the response of the current users, a decision tree induction algorithm is used to predict the requirements of future users.

Cloud computing is ensuring the security of stored data in cloud computing servers is one of the mainly demanding issues. In Cloud numerous security issues arises such as authentication, integrity and confidentiality. Different encryption techniques attempt to overcome these data security issues to an enormous extent. Hashing algorithm plays an important role in data integrity, message authentication, and digital signature in modern information security. For security purpose using encryption algorithm like ECC (Elliptic Curve Cryptography) and Authentication of data integrity using hashing algorithms like MD5, and SHA-512. This combination method provides data security, authentication and verification for secure cloud computing.