Information systems and data exchange between government institutions are growing rapidly around the world, and with it, the threats to information within government departments are growing. In recent years, research into the development and construction of secure information systems in government institutions seems to be very effective. Based on information system principles, this study proposes a model for providing and evaluating security for all of the departments of government institutions. The requirements of any information system begin with the organization's surroundings and objectives. Most prior techniques did not take into account the organizational component on which the information system runs, despite the relevance of this feature in the application of access and control methods in terms of security. Based on this, we propose a model for improving security for all departments of government institutions by addressing security issues early in the system's life cycle, integrating them with functional elements throughout the life cycle, and focusing on the system's organizational aspects. The main security aspects covered are system administration, organizational factors, enterprise policy, and awareness and cultural aspects.
The purpose of this research is defining the main factors influencing on decision of management system on sensitive data in cloud. The framework is proposed to enhance management information systems decision on sensitive information in cloud environment. The structured interview with several security experts working on cloud computing security to investigate the main objective of framework and suitability of instrument, a pilot study conducts to test the instrument. The validity and reliability test results expose that study can be expanded and lead to final framework validation. This framework using multilevel related to Authorization, Authentication, Classification and identity anonymity, and save and verify, to enhance management information system decision on sensitive data in cloud. Â Â
Cloud computing is a modern technology and it gives access to the network upon request to required computing resources (network, servers, storage, applications and services). This exciting computing model depends on data traffic and controlled by a third party. Despite the expected savings in infrastructure and the development cost for business flexibility, security is still the biggest challenge for the implementation of computing for many service-based companies. This paper discusses challenges related to data security and privacy implementation in cloud computing environment. A framework is proposed to accommodate the protection of sensitive data in cloud computing environment. This framework consists of three levels authorization, security and privacy and saves and verifies level. The main objective of this paper is to discuss the framework implementation and its architecture verification. It is expected from the research a verified framework to protect private and sensitive data in cloud environment.
The purpose of this research is defining the main factors influencing on decision of management system on sensitive data in cloud.The framework is proposed, a structured interview with experts working on cloud computing and a pilot study conduct to explore the main objectives of framework.The framework using multilevel to enhance management information system on sensitive data in cloud.
Big data has grown in importance in a variety of corporate and academic fields as a result of substantial changes in human behavior and lifestyles. While this focus simplifies data management, big data is regarded as important in many industrial areas because it can be merged with other types of data. Big data can be managed alongside other types of data, particularly in large organizations that handle a range of data types. This type of management contributes to the improvement and development of the organizational structure, as well as raising the skill level of employees in these organizations. Despite these benefits, there are numerous concerns, particularly throughout the stages of data gathering and storage, when there is a risk of hacking or leakage, as well as the difficulty of sorting and identifying data. For these reasons, big data protection is regarded as one of the most important issues discussed in this paper in order to develop an appropriate framework for protecting big data related to companies, as well as methods for dealing with this data in order to develop an appropriate strategy to protect big data security and privacy.
Hydroponics is the cultivation of plants by utilizing water without using soil which emphasizes the fulfillment of the nutritional needs of plants. This research has introduced smart hydroponic system that enables regular monitoring of every aspect to maintain the pH values, water, temperature, and soil. Nevertheless, there is a lack of knowledge that can systematically represent the current research. The proposed study suggests a systematic literature review of smart hydroponics system to overcome this limitation. This systematic literature review will assist practitioners draw on existing literature and propose new solutions based on available knowledge in the smart hydroponic system. The outcomes of this paper can assist future researchers by providing a guideline for user in highlighting approaches for the successful implementation of smart hydroponic system.
Cloud computing represents the most important shift in computing and information technology (IT). However, security and privacy remain the main obstacles to its widespread adoption. In this research we will review the security and privacy challenges that affect critical data in cloud computing and identify solutions that are used to address these challenges. Some questions that need answers are: (a) User access management, (b) Protect privacy of sensitive data, (c) Identity anonymity to protect the Identity of user and data file. To answer these questions, a systematic literature review was conducted and structured interview with several security experts working on cloud computing security to investigate the main objectives of proposed framework, a pilot study by using a structured questionnaire was conducted. Framework using multilevel to enhance management information system on sensitive data in cloud environment.
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