Mobile Cloud Computing: Standard Approach to Protecting and Securing of Mobile Cloud Ecosystems

Kumar, Ranbijay; Rajalakshmi, S.

doi:10.1109/csa.2013.161

Cited by 18 publications

(10 citation statements)

References 1 publication

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“…Khan stated that since 2008 there were 42.8 million mobile cloud computing subscribers who are expected to grow to 998 million subscribers in 2014 [22]. Several studies that have been carried out in utilizing cloud computing technology include Kotwal stating that MCC is an amalgamation of mobile technology with cloud computing that provides cloud-based services for web and mobile users [23], Other studies conducted by Kumar and Rajalakshmi stated that MCC technology has focused on cloud security issues that exist in a variety of mobile devices [24]. Shamim believes that in a study around 2015 there would be 240 million businesses that use cloud computing services via mobile devices which would generate revenue in the MCL business of $ 5.2 billion [25].…”

Section: B Mobile Cloud Computingmentioning

confidence: 99%

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Nugroho¹,

Murdowo²,

Ahmadi³

et al. 2020

IJACSA

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Mobile learning has been used in the learning process in several tertiary institutions in Indonesia. However, several universities have not been able to implement mobile learning due to the limitations of computer and network infrastructure. Cloud computing is a solution for agencies that experience limitations in computer infrastructure in the form of internet-based services for their customers. This paper discusses the implementation of mobile cloud learning which is a combination of mobile learning technology and cloud computing using the renewal DeLone and McLean Model which is a successful model to measure how important the implementation of a mobile cloud learning system is. The results showed that from the F test results obtained Fcount of 13,222, then Fcount> Ftable (13,222> 3.01), then Ho was rejected and H1 was accepted. So it can be concluded Information Quality, System Quality, and Service Quality together affect the Intensity of Use.

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Section: B Mobile Cloud Computingmentioning

confidence: 99%

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Nugroho¹,

Murdowo²,

Ahmadi³

et al. 2020

IJACSA

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“…Ganesh, A.R, et.al [16] the current symmetric encryption guarantees better security, however keeping up the key is troublesome. Keeping up key is simple when utilizing topsy-turvy plans, however suppliers lesser security contrasted with symmetric plans.…”

Section: Related Workmentioning

confidence: 99%

An Advanced Hierarchical Attribute Based Encryption Access Control in Mobile Cloud Computing

Sreelesh¹,

Kumar²

2018

IJET

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Cloud computing is a revolutionary computing technique, by which computing resources are provided dynamically via Internet is widely popular. Since the most attractive part of cloud computing is computation outsourcing, it is far beyond enough to just conduct access control. Unfortunately, the data in the cloud is out of user’s control in most cases, privacy risks would rise dramatically due to the access of unauthorized users. The security of the data is the major concern. Coordinating mobile devices into cloud computing is a rising but encouraging illustration. The coordination happens in a cloud based multi-layered client information sharing condition. With the coordination of cloud computing with mobile devices may result in security issues such as information privacy and client rights.The proposed work makes use of a technology using Advanced Hierarchical Attribute Based Encryption (A-HABE) architecture, in which the data storage will be in hierarchical structure and the retrieval of data will also be in the form of access level. Data confidentiality should be guaranteed and the system should be resilient. The secure storage and sharing of data without the fear of an unauthorized access in the cloud can result in growth in many sectors.

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“…Cloud computing's risks can bring negative effects on any companies or organizations, therefore an effective risk management is needed to balance the operational and financial cost as well as proactive actions to secure data, information systems and technologies [27]. Understanding the true potential of mobile cloud computing and identifying issues with mobile cloud security, privacy, feasibility and accessibility remain a major concern for both the customers and the enterprises [36]. However, classification of critical security issues in cloud banking is needed to highlight in this section: Interoperability impedes the quick development of cloud computing, as there is no common cloud standard being followed by different cloud providers who have their own API's [37].…”

Section: Classification Of Critical Cloud Security Issues Based On CLmentioning

confidence: 99%

“…Hence, these new applications might not work well with systems residing outside of the cloud solution. Providing sensitive or private information such as providing user's current location creates scenarios for privacy issues [36].…”

Section: Si18 Portability and Interoperabilitymentioning

confidence: 99%

Classification of Critical Cloud Computing Security Issues for Banking Organizations: A Cloud Delphi Study

Elzamly¹,

Hussin²,

Basari³

2016

IJGDC

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Mobile Cloud Computing: Standard Approach to Protecting and Securing of Mobile Cloud Ecosystems

Cited by 18 publications

References 1 publication

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

An Advanced Hierarchical Attribute Based Encryption Access Control in Mobile Cloud Computing

Classification of Critical Cloud Computing Security Issues for Banking Organizations: A Cloud Delphi Study

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