This research study proposes Hybrid Encryption System using new public key algorithm and private key algorithm. A hybrid cryptosystem is one which combines the convenience of a public-key cryptosystem with the efficiency of a symmetrickey cryptosystem. Here, we propose a provably two way secured data encryption system, which addresses the concerns of user's privacy, authentication and accuracy. This system has two different encryption algorithms have been used both in the Encryption and decryption sequence. One is public key cryptography based on linear block cipher another one is private key cryptography based on simple symmetric algorithm. This cryptography algorithm provides more security as well as authentication comparing to other existing hybrid algorithm.
The demand for adequate security to electronic data system grows high over the decades. Security is the one of the biggest concern in different type of networks. Due to diversify nature of network, security breaching became a common issue in different form of networks. Solutions for network security comes with concepts like cryptography in which distribution of keys have been done. Encryption and key generation became a vital tool for preventing the threats to data sharing and tool to preserve the data integrity so we are focusing on security enhancing by enhancing the level of encryption in network. This study’s main goal is to reflect the importance of security in network and provide the better encryption technique for currently implemented encryption techniques in simple and powerful method. In our research we have proposed a modular 37 and select any number and calculate inverse of the selected integer using modular 37. The symmetric key distribution should be done in the secured manner. Also, we examine the performance of our new SSK algorithm with other existing symmetric key algorithm.
Big data concept provides opportunity to exchange patient's medical information to the different healthcare providers. Health Information System (HIS) has created the ability to electronically store, maintain and move data across the world in a matter of seconds and has the potential to provide healthcare with tremendous increasing productivity and quality of services. Big data analytics is a growth area with the potential to provide useful insight in health information system. Big Data can unify all patient related data to get more option to view patient records to analyze and predict early disease detection. Big data supports and improve clinical practices, new drug development and health care financing process. Implementation of Health Information system (HIS) continues to expand infrastructure in Medical field due to enormous number of patient comes across to store medical data. In this paper we focus the Big data concept to increase and store patients details in Saudi public hospitals with maximum utilization. Most of the Saudi public and private hospitals Health information system locally connected and maintained by own hospital admin. There is no system implemented to share the patient health record, treatment details and medical prescription data to other hospital. The main problem in the Saudi hospital, Health information is not centralized due to unstructured, semi structured data maintain by the Saudi hospital. Proper Health information system is able to offer correct and complete personal health and medical summary through the Big data methods. This paper introduces the Big Data concept and characteristics, health care data and some major issues of Big Data. Big Data methods and challenges in medical applications and health information system are also discussed in this study. This study provides a base model to increase the use of big data in health information system and can assist to understand the breadth of big data applications.
As a result of the fast rise of globalization, people in China are learning English at a rapid pace. However, there is a severe shortage of English teachers in the region, which is a major hindrance. To address these concerns, a deep learning-based algorithm is proposed that can not only check English pronunciation but also help learners distinguish between phonemic and quality phonemic while listening and differentiating, as well as correct phonemic errors, thereby increasing their language learning capacity. In order to study the application of nonlinear network identification technology in English learning, this paper evaluates the English pronunciation quality through the deep learning algorithm of deep learning combined with the related contents of neural network data model, and the experimental results of speech recognition structure are analyzed and discussed in detail. The concordance between machine and manual intonation evaluation is 80%, the concordance rate of adjacent intonation evaluation is 98.33%, and the Pearson correlation coefficient is 0.627 that shows the technique is reliable. The method of English pronunciation and speech identification model is sensible and dependable, which can give beginners a punctual, exact and impartial judgment and response guidance, assist learners to get on the differences between their phonemic and standard phonemic, and correct phonemic mistakes, in order to enhance the ability of oral English learning.
In recent decades the tourism sector has grown rapidly to become a pillar of the global economy, political cooperation, social change and far-reaching advances in technology; both in communications and infrastructure. Tourism has closely been connected to progress of Information Communication Technology for over 30 years. With increasing complexity of tourism business models and tasks, there is a clear need of the next generation in tourism sector. Therefore, we proposing here new structure e-tourism which can support flexible automation, integration, computation, storage, and collaboration. In every year, millions of pilgrims visiting our Holy City, But on the part of tourism and development, Saudi Arabia is less than Europe, America and Asia in the sector of tours and travel development. There is no much significance research proposal or article on e-tourism & development in our Saudi Kingdom. This paper deals with etourism, innovation and designing proposal suitable for Kingdom of Saudi Arabia. Also we discussed about problems and solutions related to the e-tourism sector adoptable by the industry and government organization in Saudi Arabia.
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