Mohammed Abdullatif Alzain

MCDB: Using Multi-clouds to Ensure Security in Cloud Computing

Security is considered to be one of the most critical aspects in a cloud computing environment due to the sensitive and important information stored in the cloud for users. Users are wondering about attacks on the integrity and the availability of their data in the cloud from malicious insiders and outsiders, and from any collateral damage of cloud services. These issues are extremely significant but there is still much room for security research in cloud computing. This paper focuses more on the issues related to the data security and privacy aspects in cloud computing, such as data integrity, data intrusion, service availability. It proposes a Multi-clouds Database Model (MCDB) which is based on Multi-clouds service providers instead of using single cloud service provider such as in Amazon cloud service. In addition, it will discuss and present the architecture of the proposed MCDB model and describe its components and layers. The results and implementation for the new proposed model will be analyzed, in relation to addressing the security factors in cloud computing, such as data integrity, data intrusion, and service availability.

Using Multi Shares for Ensuring Privacy in Database-as-a-Service

Database-as-a-service (DAAS) is a new model for data management, where a service provider offers customers software management functionalities as well as the use of expensive hardware. This service enables data integration and access on a large scale in cloud computing infrastructures. Addressing data privacy in DAAS is considered a significant issue for any organizational database. Due to the fact that data will be shared with a third party, an un-trusted server is dangerous and unsafe for the user. This paper proposes the architecture of a new model appropriate for NetDB2 architecture, known as NetDB2 Multi-Shares (NetDB2-MS). It is based on multi-service providers and a secret sharing algorithm instead of encryption, which is used by the existing NetDB2 service. The evaluation is done through simulations. It shows a significant improvement in performance for data storage and retrieval for various query types.

A New approach using redundancy technique to improve security in cloud computing

Security is considered to be one of the most critical aspects in a cloud computing environment due to the sensitivity and importance of information stored in the cloud and also because the management of the data might not be fully trustworthy. The risk of malicious insiders in the cloud and the failing of cloud services have received a strong attention by companies. Security brings in concerns for data confidentiality, in addition to integrity and availability. Security has the characteristics of a complement to reliability. This work proposes a new model called Multi-clouds Databases (MCDB) which uses multi-clouds instead of single cloud service provider, such as in Amazon cloud service. The proposed model also incorporates the Shamirs secret sharing approach. In addition, it adopts a triple modular redundancy (TMR) technique with sequential method to improve the proposed cloud computing systemreliability and then enhance the security aspect.

Multi-Cloud Data Management using Shamir's Secret Sharing and Quantum Byzantine Agreement Schemes

Cloud computing is a phenomenal distributed computing paradigm that provides flexible, low-cost on-demand data management to businesses. However, this so-called outsourcing of computing resources causes business data security and privacy concerns. Although various methods have been proposed to deal with these concerns, none of these relates to multi-clouds. This paper presents a practical data management model in a public and private multi-cloud environment. The proposed model BFT-MCDB incorporates Shamirs Secret Sharing approach and Quantum Byzantine Agreement protocol to improve trustworthiness and security of business data storage, without compromising performance. The performance evaluation is carried out using a cloud computing simulator called CloudSim. The experimental results show significantly better performance in terms of data storage and data retrieval compared to other common cloud cryptographic based models. The performance evaluation based on CloudSim experiments demonstrates the feasibility of the proposed multi-cloud data management model.

A new model to ensure security in cloud computing services

In the commercial world, various computing needs are provided as a service. Service providers meet these computing needs in different ways, for example, by maintaining software or purchasing expensive hardware. Security is one of the most critical aspects in a cloud computing environment due to the sensitivity and importance of information stored in the cloud. The risk of malicious insiders in the cloud and the failure of cloud services have received a great deal of attention by companies. This paper focuses on issues related to data security and privacy in cloud computing and proposes a new model, called Multi-Cloud Databases (MCDB). The purpose of the proposed new model is to address security and privacy risks in the cloud computing environment. Three security issues will be examined in our proposed model: data integrity, data intrusion, and service availability.

A Byzantine Fault Tolerance Model for a Multi-cloud Computing

Data security has become an important requirement for clients when dealing with clouds that may fail due to faults in the software or hardware, or attacks from malicious insiders. Hence, building a highly dependable and reliable cloud system has become a critical research problem. This paper presents BFT-MCDB (Byzantine Fault Tolerance Multi-Clouds Database), a practical model for building a system with Byzantine fault tolerance in a multi-cloud environment. The model relies on a novel approach that combines Byzantine Agreement protocols and Shamirs secret sharing approach to detect Byzantine failure in a multi-cloud computing environment as well as ensuring the security of the stored data within the cloud. Using qualitative analysis, we show that adopting the Byzantine Agreement protocols in the proposed BFT-MCDB model increases system reliability and enables gains in regard to the three security dimensions (data integrity, data confidentiality, and service availability). We also carry out experiments to determine the overheads of using the Agreement protocols.

A Cloud-Based Architecture for Interactive E-Training

Cloud-based technologies play a significant role in the technology-enhanced learning domain. The adoption of cloud technologies in the educational environment has a positive impact on the learning process by offering new tools and services to improve and support the learning life cycle, including interactivity. In specific fields, such as clinical skills training, that involve computer-intensive training scenarios, there is an increased demand to deliver training services to a larger number of learners, therefore the need for cloud services. However, to date there has been a lack of a formalized framework relating to the use of cloud computing for on-demand interactive e-training resources. This paper is to formalize a theoretical framework for an interactive e-training system particularly for clinical skills training, taking into consideration e-training system requirements and with a focus on applying cloud technologies to ensure the dynamic scalability of services and computing power while maintaining QoS and security KEywoRdS Cloud Computing, Computer-Intensive Training, Distributed System, E-Learning System, Interactive System

Evaluation of multi-cloud computing TMR-based model using a cloud simulator

Security of data in cloud computing environment is considered to be critical issue because of the importance and sensitivity of the outsourced data in the cloud, as is the trustworthiness of the cloud service provider. The failure of cloud services and the danger of malicious insiders in the cloud have received intense awareness by cloud users. The aim of this work is to analyse and evaluate an existing MCDB model (Multi-clouds Databases) that utilizes multi-clouds providers. The model adopted a triple modular redundancy (TMR) technique as well as sequential method to develop data trustworthiness of cloud system and after that to improve the data security feature. Also, it. incorporated Shamirs sharing algorithm. The evaluation is done through simulation using cloud computing simulator toolkit.

A Conceptual Model for an Intelligent Simulation-Based Learning Management System Using a Data Mining Agent in Clinical Skills Education

Clinical skills education is an essential component of the teaching plan in medical science courses, such as nursing education. Simulation-based learning is an effective teaching method in any practical or vocational-based training. The development of simulation-based teaching has been impacted by the integration of emerging technologies, such as Intelligent Tutoring Systems (ITSs), which results in a more interactive and adaptive environment. Recently, educational data mining (EDM) has played an important role in the development of ITSs by providing different methods and techniques to predict a students performance. Research carried out to deliver intelligent simulation-based systems for clinical skills teaching has applied several artificial intelligence techniques, however there is a lack of research that describes the use of the powerful methods and techniques available in EDM. This paper investigates and traces the technological developments of the most effective methods employed to promote learning in clinical skills education, particularly in nursing education, where skills acquisition is imperative for the provision of high quality care. To this end, we propose a conceptual model for an intelligent simulation-based learning system using a data mining agent in clinical skills education.