Data Storage Security In Cloud Computing
Complete Data Storage Security In Cloud Computing Project Materials (Chapters 1 to 5):
Cloud computing provides high performance, efficient utilization, and on-demand availability of resources which can be accessed from different locations concurrently. However, the cloud environment is vulnerable to different kinds of attacks which involve installing malicious software which creates backdoors or excess file uploads which creates brutal force attacks and slows down the server. In a cloud environment, where businesses have hosted important and critical data, the security of the stored files becomes crucial. To mitigate the threat to cloud environments, Cloud Security Systems (CSS) comes as a layer of defense. Although it is not a new technology, some drawbacks have been identified in the existing CSS designs, which results in low performance due to network congestion and less data efficiency. Our developed system offers a controlled approach for the problem of security, privacy and trust issues from the end users of cloud services by putting up a benchmark for the amount of resources users can store in the cloud service which solves the problem of scalability and load balancing. It offers provision of on-demand utility to users of the cloud service at a quick response time. This system was designed using Java programming language. We also used Unified Modeling Language as a tool to design the system, which helps in reducing the design complexity.
INTRODUCTION
1.1 Introduction
Cloud Computing is a new paradigm of computing which has evolved in recent times, it’s a platform where hardware and software are delivered to users in a manner that resembles the way utilities such as electricity are delivered to households today (Flanagan, 2002). Cloud computing is an online form of computing where users can access applications (especially, Web-Based Applications) via a web-browser, while the application is installed and stored on a data center which comprises several servers.
1.2 Background of Study
Several trends are opening up the era of Cloud Computing, which is an Internet-based development and use of computer technology. The ever cheaper and more powerful processors, together with the software as a service (SaaS) computing architecture, are transforming data centers into pools of computing service on a huge scale. The increasing network bandwidth and reliable yet flexible network connections make it even possible that users can now subscribe high quality services from data and software that reside solely on remote data centers.
Moving data into the cloud offers great convenience to users since they don’t have to care about the complexities of direct hardware management. The pioneer of Cloud Computing vendors, Amazon Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) are both well known examples. While these internet-based online services do provide huge amounts of storage space and customizable computing resources, this computing platform shift, however, is eliminating the responsibility of local machines for data maintenance at the same time. As a result, users are at the mercy of their cloud service providers for the availability and integrity of their data. Recent downtime of Amazon’s S3 is a good example. From the perspective of data security, which has always been an important aspect of quality of service, Cloud Computing inevitably poses new challenging security threats for number of reasons.
Firstly, traditional cryptographic primitives for the purpose of data security protection cannot be directly adopted due to the users’ loss control of data under Cloud Computing. Therefore, verification of correct data storage in the cloud must be conducted without explicit knowledge of the whole data. Considering various kinds of data for each user stored in the cloud and the demand of long term continuous assurance of their data safety, the problem of verifying correctness of data storage in the cloud becomes even more challenging. Secondly, Cloud Computing is not just a third party data warehouse. The data stored in the cloud may be frequently updated by the users, including insertion, deletion, modification, appending, reordering, etc. To ensure storage correctness under dynamic data update is very important. However, this dynamic feature also makes traditional integrity insurance techniques futile and entails new solutions. Last but not the least, the deployment of Cloud
Computing is powered by data centers running in a simultaneous, cooperated and distributed manner. Individual user’s data is redundantly stored in multiple physical locations to further reduce the data integrity threats. Therefore, distributed protocols for storage correctness assurance will be of most importance in achieving a robust and secure cloud data storage system in the real world. However, such important area remains to be fully explored in the literature.
1.3 Statement of Problem
Cloud computing as a new innovation and ultimate solution for utility and distributed computing on Web Applications has been used by billions of users across the globe since its inception. Its implementation and impact cut across several fields, disciplines and businesses across the globe. Nevertheless, cloud computing have been bedeviled by certain obstacles, the goal of this research study is to discern the factors affecting performance and provide some solutions or guidelines to cloud users that might run into performance problems:
1. Integrity and protection of information deployed or stored in the cloud domain as opposed to the traditional approach of information storage.
2. Ability to transform data from diverse sources into intelligence and deliver intelligence information to right users and systems.
3. The need for load balancing and traffic control when multiple users access the cloud service.
4. Need to address the scalability issue: Large scale data, high performance computing, automaton, response time, rapid prototyping, and rapid time to production.
5. Security, privacy and trust issues from the end users of cloud services.
6. Adopting cloud as a platform to enhance a vibrant business intelligence environment.
1.4 Aim and Objectives
The aim of the research work is to design a data storage security system that provides solution to factors affecting performance, security and reliability in the cloud computing domain.
This research study has the following objectives:
1. To offer a controlled approach for the problem of security, privacy and trust issues from the end users of cloud services.
2. To offer a benchmark for the amount of resources users can store in the cloud service which solves the problem of scalability and load balancing.
3. To offer provision of on-demand utility to users of the cloud service at a quick response time.
1.5 Significance of the Study
The application of Information technology cuts across every facet of human endeavor (Izevbizua, 2013). The significance of this research study is:
1. It offers guarantee on the quality of cloud computing services.
2. It offers an easy information sharing platform for the users.
3. It highlights and solves the problem of multi-tenancy (where a single application instance may serve hundreds of users or subscribers).
4. It offers a measured security of information stored in the cloud domain.
1.6 Limitations of the Study
This study is constrained by certain factors which constitute limitations of the study:
1. The problem of data size limit assign to subscribers of the system may not allow users to deploy as much resources as they desire to store and share among other users.
2. The expense of acquiring a space on the cloud service provider was tasking initially. This lead to the concentration of the study to some restricted scope.
3. The measure of resource security within the cloud domain may not suit users; which gives room for improvement of resource security in further research.
1.7 Definition of Terms
Server: It is any combination of hardware or software designed to provide services to clients.
Client: It requests and consumes the services provided by another having the role of server.
Virtualization: It is the ability to separate the OS from the hardware that operates it.
Private Cloud: It is an approach for designing, implementing and managing servers, applications and data center resources by reducing complexity, increasing standardization and automation, and provide elasticity.
Web Application: It is any software application that depends on the Web for its correct execution.
PHP: Hypertext Preprocessor is a server-side scripting language designed for web development as well as general purpose programming language.
DBMS: Database Management System is a computerized record keeping system that comprises collection of data organized to service many applications at the same time.
The introduction of Data Storage Security In Cloud Computing should start with the relevant background information of the study, clearly define the specific problem that it addresses, outline the main object, discuss the scope and any limitation that may affect the outcome of your findings
Literature Review of Data Storage Security In Cloud Computing should start with an overview of existing research, theoretical framework and identify any gaps in the existing literature and explain how it will address the gaps
Methodology of Data Storage Security In Cloud Computing should describe the overall design of your project, detail the methods and tools used to collect data explain the techniques used to analyse the collected data and discuss any ethical issues related to your project
Results should include presentation of findings and interpretation of results
The discussion section of Data Storage Security In Cloud Computing should Interpret the implications of your findings, address any limitations of your study and discuss the broader implications of your findings
The conclusion of Data Storage Security In Cloud Computing should include summarize the main results and conclusions of your project, provide recommendations based on your findings and offer any concluding remarks on the project.
References should List all the sources cited in Data Storage Security In Cloud Computing project by following the required citation style (e.g., APA, MLA, Chicago).
The appendices section should Include any additional materials that support your project (Data Storage Security In Cloud Computing) but are too detailed for the main chapters such as raw data, detailed calculations etc.