A comprehensive meta-analysis of cryptographic security mechanisms for cloud computing

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The concept of cloud computing offers measurable computational or information resources as a service over the Internet. The major motivation behind the cloud setup is economic benefits, because it assures the reduction in expenditure for operational and infrastructural purposes. To transform it into a reality there are some impediments and hurdles which are required to be tackled, most profound of which are security, privacy and reliability issues. As the user data is revealed to the cloud, it departs the protection-sphere of the data owner. However, this brings partly new security and privacy concerns. This work focuses on these issues related to various cloud services and deployment models by spotlighting their major challenges. While the classical cryptography is an ancient discipline, modern cryptography, which has been mostly developed in the last few decades, is the subject of study which needs to be implemented so as to ensure strong security and privacy mechanisms in today’s real-world scenarios. The technological solutions, short and long term research goals of the cloud security will be described and addressed using various classical cryptographic mechanisms as well as modern ones. This work explores the new directions in cloud computing security, while highlighting the correct selection of these fundamental technologies from cryptographic point of view

An extensive research survey on data integrity and deduplication towards privacy in cloud storage

Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems

Protection of big data privacy

In recent years, big data have become a hot research topic. The increasing amount of big data also increases the chance of breaching the privacy of individuals. Since big data require high computational power and large storage, distributed systems are used. As multiple parties are involved in these systems, the risk of privacy violation is increased. There have been a number of privacy-preserving mechanisms developed for privacy protection at different stages (e.g., data generation, data storage, and data processing) of a big data life cycle. The goal of this paper is to provide a comprehensive overview of the privacy preservation mechanisms in big data and present the challenges for existing mechanisms. In particular, in this paper, we illustrate the infrastructure of big data and the state-of-the-art privacy-preserving mechanisms in each stage of the big data life cycle. Furthermore, we discuss the challenges and future research directions related to privacy preservation in big data

ENFORCING SECURITY ON CLOUD COMPUTING NETWORK: A THEORETICAL FRAME WORK

Cloud computing offers reduced capital expenditure, operational risks, complexity and maintenance, and increasedscalability as well as providing services at different abstraction levels, namely Software-as-a-Service (SaaS), Platform-as-a-Service(PaaS), and Infrastructure-as-a-Service (IaaS). The paper highlighted various threats in cloud computing networking,and also proffered solution by discussing extensively various security measures to be enforced on the system to achievesecurity to a large extent. This paper presents a security architecture that enables a user of cloud networking to definesecurity requirements and enforces them in the cloud networking infrastructure.Keywords: Cloud Computing, Infrastructure, Abstraction, Services, Security & Framework

Information Security In The Age Of Cloud Computing

Information security has been a particularly hot topic since the enhanced internal control requirements of Sarbanes-Oxley (SOX) were introduced in 2002. At about this same time, cloud computing started its explosive growth. Outsourcing of mission-critical functions has always been a gamble for managers, but the advantages of cloud computing are too tempting to ignore. However, the move to cloud computing could prove very costly for a business if the implementation were to fail. When making the decision to outsource critical functions, managers look to accountants to provide assurance that their data and transactions will be secure and that emergency procedures will be in-place and work as designed, to protect the business from any potential losses due to unforeseen events. Statement on Auditing Standards (SAS) 70 has provided guidance to auditors of third-party service organizations since 1992, but was replaced in April 2010 by Statement on Standards for Attestation Engagements (SSAE) 16. And yet, data breaches continue to occur, costing billions of dollars annually. This research used data from the Privacy Rights Clearinghouse (PRC) database and, through frequency analysis, Chi-square and cluster analysis techniques, found statistically significant differences in the frequency of breaches experienced by various types of consumer organizations based on breach and organization type. This result will be useful to auditors. The research also conducted a survey of 67,749 IT manager/directors. The responses to this survey were to be analyzed using binary logistic regressions and Chi-square tests. Unfortunately, due to severe limitations in the response rate and further complicated by the number of incomplete responses, no inferences can be drawn regarding factors relevant to decision-makers when contemplating the movement of critical business functions into the cloud environment