Towards secure mobile cloud computing: A survey

Khan, Abdul Nasir; Kiah, Miss Laiha Mat; Khan, Samee U.; Madani, Sajjad A.

doi:10.1016/j.future.2012.08.003

Cited by 311 publications

(137 citation statements)

References 59 publications

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“…In this paper, we focus on the network environment of MCC, which is considered to be a viable solution to implement fast, large-scale big data applications [11,34]. A typical MCC architecture, which consists of a mobile client network, a wireless mesh backbone network and a cloud service platform, is depicted in Fig.…”

Section: A Network Modelmentioning

confidence: 99%

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Lin

Tian

et al. 2017

Information Sciences

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Abstract:As a promising next-generation computing paradigm, Mobile Cloud Computing (MCC) enables the large-scale collection and big data processing of personal private data. An important but often overlooked V of big data is data veracity, which ensures that the data used are trusted, authentic, accurate and protected from unauthorized access and modification. In order to realize the veracity of data in MCC, specific trust models and approaches must be developed. In this paper, a Category-based Context-aware and Recommendation incentive-based reputation Mechanism (CCRM) is proposed to defend against internal attacks and enhance data veracity in MCC. In the CCRM, innovative methods, including a data category and context sensing technology, a security relevance evaluation model, and a Vickrey-Clark-Groves (VCG)-based recommendation incentive scheme, are integrated into the process of reputation evaluation. Cost analysis indicates that the CCRM has a linear communication and computation complexity. Simulation results demonstrate the superior performance of the CCRM compared to existing reputation mechanisms under internal collusion attacks and bad mouthing attacks.

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Section: A Network Modelmentioning

confidence: 99%

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Lin

Tian

et al. 2017

Information Sciences

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“…Autonomic computing manage applications execution in dynamically changing and unpredictable environments without any user's manual intervention [15,102,109] by regularly checking and monitoring the changing conditions automatically. Mobile computing extends the computing facilities to the smart mobile devices in order to enhance their capabilities on demand for accommodating computational-and storage-intensive applications [1,15,59,111,118].…”

Section: Immediate Extension Of Grid Resource Managementmentioning

confidence: 99%

“…Cloud is a service oriented platform that provides three types of basic services at different levels: The user requests a service through QoS parameters which are recorded in a predefined SLA. The objective of delivering the three types of services is to give a facility to the users to use existing softwares, platforms, and infrastructures on the fly without investing in new ones and wasting capacities in personnel trainings [59].…”

Section: Cloud Computingmentioning

confidence: 99%

Survey on Grid Resource Allocation Mechanisms

et al. 2014

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Grid is a distributed high performance computing paradigm that offers various types of resources (like computing, storage, communication) to resource-intensive user tasks. These tasks are scheduled to allocate available Grid resources efficiently to achieve high system throughput and to satisfy A. Y. Zomaya University of Sydney, Sydney, Australia user requirements. The task scheduling problem has become more complex with the ever increasing size of Grid systems. Even though selecting an efficient resource allocation strategy for a particular task helps in obtaining a desired level of service, researchers still face difficulties in choosing a suitable technique from a plethora of existing methods in literature. In this paper, we explore and discuss existing resource allocation mechanisms for resource allocation problems employed in Grid systems. The work comprehensively surveys Gird resource allocation mechanisms for different architectures (centralized, distributed, static or dynamic). The paper also compares these resource allocation mechanisms based on their common features such as time complexity, searching mechanism, allocation strategy, optimality, operational environment and objective function they adopt for solving computing-and data-intensive applications. The comprehensive analysis of cutting-edge research in the Grid domain presented in this work provides readers with an understanding of essential concepts of resource allocation mechanisms in Grid systems and helps them identify important and outstanding issues for further investigation. It also helps readers to choose the most appropriate mechanism for a given system/application.

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“…Users release their location in order to experience personalized/customized services (such as friend-seeker and navigation service). However, location sharing may introduce a new class of privacy threats ranging from localizing an individual to profiling and identifying him based on the places he visits [1,2] in mobile social networks.…”

Section: Introductionmentioning

confidence: 99%

Prophet: A Context-Aware Location Privacy-Preserving Scheme in Location Sharing Service

Zhang

Fang

2017

Discrete Dynamics in Nature and Society

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Location sharing service has become an indispensable part in mobile social networks. However, location sharing may introduce a new class of privacy threats ranging from localizing an individual to profiling and identifying him based on the places he shared. Although users may avoid releasing geocontent in sensitive locations, it does not necessarily prevent the adversary from inferring users' privacy through space-temporal correlations and historical information. In this paper, we design a Prophet framework, which provides an effective security scheme for users sharing their location information. First, we define fingerprint identification based on Markov chain and state classification to describe the users' behavior patterns. Then, we propose a novel location anonymization mechanism, which adopts a -indistinguishability strategy to protect user's sensitive location information published. Finally, experimental results are given to illustrate good performance and effectiveness of the proposed scheme.

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Towards secure mobile cloud computing: A survey

Cited by 311 publications

References 59 publications

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Survey on Grid Resource Allocation Mechanisms

Prophet: A Context-Aware Location Privacy-Preserving Scheme in Location Sharing Service

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