Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues

Bhatia, Tarunpreet; Verma, Anil Kumar

doi:10.1007/s11227-016-1945-y

Cited by 43 publications

(19 citation statements)

References 88 publications

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“…In recent years, a number of reviews and surveys have been published to analyze MCC in secondary studies [8][9][10][11] and are considered as related to this study. David et al [8] focused on the various encryption techniques (and their variants) that are presently being utilized, and on possible future works that could improve privacy-oriented encryption techniques and security.…”

Section: Related Workmentioning

confidence: 99%

Privacy and data protection in mobile cloud computing: A systematic mapping study

2020

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As a result of a shift in the world of technology, the combination of ubiquitous mobile networks and cloud computing produced the mobile cloud computing (MCC) domain. As a consequence of a major concern of cloud users, privacy and data protection are getting substantial attention in the field. Currently, a considerable number of papers have been published on MCC with a growing interest in privacy and data protection. Along with this advance in MCC, however, no specific investigation highlights the results of the existing studies in privacy and data protection. In addition, there are no particular exploration highlights trends and open issues in the domain. Accordingly, the objective of this paper is to highlight the results of existing primary studies published in privacy and data protection in MCC to identify current trends and open issues. In this investigation, a systematic mapping study was conducted with a set of six research questions. A total of 1711 studies published from 2009 to 2019 were obtained. Following a filtering process, a collection of 74 primary studies were selected. As a result, the present data privacy threats, attacks, and solutions were identified. Also, the ongoing trends of data privacy exercise were observed. Moreover, the most utilized measures, research type, and contribution type facets were emphasized. Additionally, the current open research issues in privacy and data protection in MCC were highlighted. Furthermore, the results demonstrate the current state-of-the-art of privacy and data protection in MCC, and the conclusion will help to identify research trends and open issues in MCC for researchers and offer useful information in MCC for practitioners.

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Section: Related Workmentioning

confidence: 99%

Privacy and data protection in mobile cloud computing: A systematic mapping study

2020

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“…In the case of SQL Server databases, the user authentication data can be stored encrypted in another database, not even visible to the database administrator. Also, an implementation that does not take account of the vulnerabilities of such application may allow attackers to steal data using SQL injection (Gicev et al, 2013; Bhatia, 2017), which are still one of the most significant databases weaknesses.…”

Section: Information Security Challenges -Vulnerabilities Brought By mentioning

confidence: 99%

Information security challenges - vulnerabilities brought by ERP applications and cloud platforms

Rîndașu¹

2018

AUDITF

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The accounting profession is in a continuous process of change as ERP applications and emerging technologies such as cloud computing continue to bring improvements into the accounting and financial areas. Nevertheless, beside the variety of benefits, these technologies carry specific risks that can affect the fundamental characteristics and security aspects of data.This paper aims to highlight the most common vulnerabilities of ERP applications and cloud computing platforms in the context of digital accounting. At the same time, in addition to the technical aspects and good practices used to prevent and correct these vulnerabilities, the study focuses on a critical component of data security: the human factor. Moreover, the empirical research conducted has highlighted the fact that young professionals understand the need for sensitive data protection, but they do not always display the best behavior to prevent security incidents.This article aims to provide an overview of ERP applications and cloud computing platforms that are currently used in the financial and accounting field, focusing on the main technical vulnerabilities and the human factor, which is one of the most important aspects of data security.

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“…Authentication confirms the consumer's right to access the information, and preserve the user's account from stealing identity and fraud. In the proposed model, the equation of authentication (9) uses four parameters [30], [31]: passwordbased, smart card based, one-time password-based and biometrics-based.…”

Section: F Authentication (Tv 5 )mentioning

confidence: 99%

A User-Based Trust Model for Cloud Computing Environment

Saeed¹,

Shaikh²

2018

ijacsa

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There are many trust management models for the cloud environment. Selecting an appropriate trust model is not an easy job for a user. This work presents a new trust model called ARICA model which help a user to reduce the reliance on the trust value of provider and third-party feedback. Simultaneously, the ARICA model increases the dependence on the user trust value. Furthermore, the proposed model measured the trust based on five attributes: Availability, Reliability, Integrity, Confidentiality, and Authentication. This paper presents the comparison of the proposed ARICA trust model with two existing schemes. Results show that the proposed model provides better accurate results.

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Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues

Cited by 43 publications

References 88 publications

Privacy and data protection in mobile cloud computing: A systematic mapping study

Privacy and data protection in mobile cloud computing: A systematic mapping study

Information security challenges - vulnerabilities brought by ERP applications and cloud platforms

A User-Based Trust Model for Cloud Computing Environment

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