Taxonomy for Identification of Security Issues in Cloud Computing Environments

Ahmed, Monjur; Litchfield, Alan T.

doi:10.1080/08874417.2016.1192520

Cited by 42 publications

(21 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Service level agreement (SLA): it is necessary for customers to have guarantees from suppliers on service offer. Typically, these are offered via Service Level Agreements (SLAs) discussed between the providers and customers [79]. The very first problem is to determine SLA particularizations just like that has a convenient level of granularity expected by a customer from a provider [10,16,23].…”

Section: Technical Issuesmentioning

confidence: 99%

See 1 more Smart Citation

Challenges of cloud computing use: A systematic literature review

et al. 2018

View full text Add to dashboard Cite

Background: In recent years, cloud computing has grown vastly. Cloud computing represents a new model for IT service delivery and it typically provides over-a-network, ondemand, self-service access, which is dynamically scalable and elastic, using pools of often virtualized resources. However, this new paradigm is facing diverse challenges from many fronts. Methods: We conducted a systematic literature review of potential challenges of cloud computing. Documents that described challenges of cloud computing were collected of routinely. We grouped identified challenges in taxonomy for a focused international dialogue on solutions. Results: Twenty-three potential challenges were identified and classified in three categories: policy and organizational, technical and legal. The first three categories are deeply rooted in well-known challenges of cloud computing. Conclusions: The simultaneous effect of multiple interacting challenges ranging from technical to intangible issues has greatly complicated advances in cloud computing adoption. A systematic framework of challenges of cloud computing will be essential to accelerate the use of this technology for working well in fact and in order to face with respect to mitigating IT-related cloud computing risks.

show abstract

Section: Technical Issuesmentioning

confidence: 99%

“…Integrity The integrity of applications, networks, databases and system software in a shared, globally available cloud environment is threatened by much vulnerability when not adequate and timely patched [4,9,16,28,54,67].…”

Section: Technical Issuesmentioning

confidence: 99%

Challenges of cloud computing use: A systematic literature review

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Primary threat vectors to Cloud Computing appear as technological factors (hardware and software) and human factors [2]. These can be further broken down into the following categories:…”

Section: Introductionmentioning

confidence: 99%

Corp

Litchfield

Ahmed

2019

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion

Self Cite

View full text Add to dashboard Cite

The COllaborative Redundant Processing (CORP) algorithm is an approach to prevent unauthorised modification of data in a decentralised and distributed computing environment. Built on Ki-Ngā-Kōpuku, a distributed and decentralised security model for Cloud Computing, where redundant nodes are functionally identical, the nodes collectively maintain consistency and integrity of processed data. If a single node is compromised and acts maliciously to modify data, other nodes detect the action. CORP extends the functionality of Ki-Ngā-Kōpuku and is developed mainly for a Cloud Computing context, but the concept can be used in any distributed and decentralised environment to provide consistency, integrity, and availability.

show abstract

“…Scrutinizing the literature, it is possible to observe that apart from the Hadoop security infrastructure based on Kerberos, there is a wide demand for developing security models and policies in for the cloud domain [16], [21], [22], [7]. Such models allow to analyze the consistency of a proposed security architecture, and figure out the basic adversary model [21].…”

Section: Related Workmentioning

confidence: 99%

“…The importance of security increases rapidly with the growth of Big Data industry. The efficient Big Data security infrastructure should include the following components: Authentication services; Access control infrastructure for the supported access policies; Encryption protocols and other standard cryptography services; Fast on-the-fly auditing services [7].…”

Section: Introductionmentioning

confidence: 99%

Fast-Sec: an approach to secure Big Data processing in the cloud

Anjos

Galibus

Geyer

et al. 2017

International Journal of Parallel, Emergent and Distributed Sys

View full text Add to dashboard Cite

Fast-Sec: an approach to secure Big Data processing in the cloud http://researchonline.ljmu.ac.uk/7269/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription. Security is an important concern in computer systems, which is especially remarkable when the system has to handle large amounts of data and a number of different users accessing this data with different accessing permissions. Observing this demand, this work proposes an innovative approach to provide a security infrastructure support to Big Data Analytic in Cloud-based systems named Fast-sec. Fast-Sec handles systems with large volumes of data from heterogeneous sources, in which users may access the system by different platforms, consuming or providing data. The security infrastructure proposed in Fast-Sec provides an authentication mechanism for users and data access control adapted to high demands from cloud-based Big Data environment. The reported results show the adequacy of the proposed safety infrastructure to the cloud-based systems processing Big Data. LJMU Research OnlineApril 19, 2017 13:7 The International Journal of Parallel, Emergent and Distributed Systems Smart-

show abstract

Taxonomy for Identification of Security Issues in Cloud Computing Environments

Cited by 42 publications

References 48 publications

Challenges of cloud computing use: A systematic literature review

Challenges of cloud computing use: A systematic literature review

Corp

Fast-Sec: an approach to secure Big Data processing in the cloud

Contact Info

Product

Resources

About