Analysis of Adaptive Policy-Based Approach to Avoid Policy Conflicts

Mansor, Abdehamid Abdelhadi; Kadir, Wan Hazli Wan; Anwar, Toni; Sahibuddin, Shamsul

doi:10.1109/apsec.2012.155

Cited by 1 publication

(1 citation statement)

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“…There have also been significant advances in the area of policy conflict detection and resolution in relation with network policy such as [4] [5] [12] [13]. The novel policy conflict and anomaly detection techniques coupled with the resolution strategies have been proposed in [13].…”

Section: Related Workmentioning

confidence: 99%

Policy-driven security management for fog computing: Preliminary framework and a case study

Dsouza

Ahn

Taguinod

2014

Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)

184

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With the increasing user demand for elastic provisioning of resources coupled with ubiquitous and on-demand access to data, cloud computing has been recognized as an emerging technology to meet such dynamic user demands. In addition, with the introduction and rising use of mobile devices, the Internet of Things (IoT) has recently received considerable attention since the IoT has brought physical devices and connected them to the Internet, enabling each device to share data with surrounding devices and virtualized technologies in real-time. Consequently, the exploding data usage requires a new, innovative computing platform that can provide robust real-time data analytics and resource provisioning to clients. As a result, fog computing has recently been introduced to provide computation, storage and networking services between the end-users and traditional cloud computing data centers. This paper proposes a policy-based management of resources in fog computing, expanding the current fog computing platform to support secure collaboration and interoperability between different user-requested resources in fog computing.

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