Adaptive Customer Profiles For Context Aware Services in a Mobile Environment

The proliferation of location-based services, representative services for the mobile networks, has posed a serious threat to users’ privacy. In the literature, several privacy mechanisms have been proposed to preserve location privacy. Location obfuscation enforced using cloaking region is a widely used technique to achieve location privacy. However, it requires a trusted third-party (TTP) and cannot sufficiently resist various inference attacks based on background information and thus is vulnerable to location privacy breach. In this paper, we propose a context-aware location privacy-preserving solution with differential perturbations, which can enhance the user’s location privacy without requiring a TTP. Our scheme utilizes the modified Hilbert curve to project every 2-d location of the user in the considered map to 1-d space and randomly generates the reasonable perturbation by adding Laplace noise via differential privacy. In order to solve the resource limitation of mobile devices, we use a quad-tree based scheme to transform and store the user context information as bit stream which achieves the high compression ratio and supports efficient retrieval. Security analysis shows that our proposed scheme can effectively preserve the location privacy. Experimental evaluation shows that our scheme retrieval accuracy is increased by an average of 15.4% compared with the scheme using standard Hilbert curve. Our scheme can provide strong privacy guarantees with a bounded accuracy loss while improving retrieval accuracy.

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Hermes -- A Context-Aware Application Development Framework and Toolkit for the Mobile Environment

2012 26th International Conference on Advanced Information Networking and Applications Workshops ◽

10.1109/waina.2012.43 ◽

2012 ◽

Cited By ~ 28

Author(s):

Senaka Buthpitiya ◽

Faisal Luqman ◽

Martin Griss ◽

Bo Xing ◽

Anind K. Dey

Keyword(s):

Context Aware ◽

Application Development ◽

Mobile Environment ◽

Development Framework

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Intelligent Context-Aware and Adaptive Interface for Mobile LBS

Computational Intelligence and Neuroscience ◽

10.1155/2015/489793 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 6

Author(s):

Jiangfan Feng ◽

Yanhong Liu

Keyword(s):

Human Computer Interaction ◽

User Interfaces ◽

Spatial Information ◽

Spatial Models ◽

Performance Outcomes ◽

Location Based Services ◽

Context Aware ◽

Mobile Environment ◽

Mobile Location ◽

Computer Interaction

Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users’ demands in a complicated environment and suggested the feasibility by the experimental results.

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Context-aware recommender systems in mobile environment: On the road of future research

Information Systems ◽

10.1016/j.is.2017.09.001 ◽

2017 ◽

Vol 72 ◽

pp. 27-61 ◽

Cited By ~ 29

Author(s):

Imen Ben Sassi ◽

Sehl Mellouli ◽

Sadok Ben Yahia

Keyword(s):

Recommender Systems ◽

Future Research ◽

Context Aware ◽

Mobile Environment ◽

The Road ◽

On The Road

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Context-Aware P2P Over Opportunistic Networks

Mobile Peer-to-Peer Computing for Next Generation Distributed Environments ◽

10.4018/978-1-60566-715-7.ch021 ◽

2011 ◽

pp. 460-480 ◽

Cited By ~ 1

Author(s):

Marco Conti ◽

Franca Delmastro ◽

Andrea Passarella

Keyword(s):

Dynamic Environment ◽

Opportunistic Networks ◽

Context Aware ◽

Mobile Environment ◽

P2p Systems ◽

Intermittent Connectivity ◽

Computing Paradigm ◽

Stable Path ◽

Hoc Networks ◽

Definition Of

Recently, the popularity of p2p computing paradigm has been increasing, especially in the mobile environments, due to the large use of mobile devices as tools to generate and share content among users. Several works have been proposed in ad hoc networks literature to optimize legacy p2p systems over a mobile environment, mainly relying on the necessity of a stable path between pairs of nodes wishing to communicate. However, in the last few years, resources limitations and high mobility of users have introduced a new networking paradigm characterized by intermittent connectivity and frequent partitioning: the opportunistic networks. In such a dynamic environment, where systems must exploit all communication opportunities to enable the users to get in touch and exchange data, the authors propose a novel definition of mobile p2p, which exploits context information to enhance distributed services. In addition, they present a Context-aware opportunistic File Sharing application as a practical example of an optimized p2p service over opportunistic networks.

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Context Aware Mobility Management

Handbook of Research in Mobile Business, Second Edition ◽

10.4018/978-1-60566-156-8.ch004 ◽

2009 ◽

pp. 33-44

Author(s):

Jhoanna Rhodette Pedrasa ◽

Eranga Perera ◽

Aruna Seneviratne

Keyword(s):

Mobility Management ◽

System Architecture ◽

Context Aware ◽

Mobile Environment ◽

Management Decisions ◽

Research Issues ◽

Generalized System

Context is any information that can enhance a computing system’s relevance, timeliness, and usefulness to the user. Recent research has been devoted to the use of context in a mobile environment, particularly in handling the mobility itself. This chapter will start with defining what context is, how it is represented, and present a generalized system architecture. The authors then look at the problem of mobility in general and discuss existing solutions. Next they show how context can be leveraged to achieve more intelligent mobility management decisions. The authors highlight some of the research issues particular to context-aware mobility management and survey existing solutions. Last, they argue that these solutions have not truly addressed these issues and present their own architecture for handling mobility.

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