Mobile crowd-sensing context aware based fine-grained access control mode

Abstract

The present of smart mobile devices have provided unprecedented flexibility to humankind, with which people are able to access kinds of system resource through internet everywhere, including confidential data, nevertheless. While the traditional computing environment is always considered to be static and security-guarded, the context of mobile computing is much more variable, complex, and risk-hidden. To provide appropriate protection on mobile devices, we proposed a context-aware model combined with crowd-sensing paradigm to achieve fine-grained measurement of user's current context. Corresponding to the context-aware model, we categorize the context by kinds of attributes and proposed Attributetree based Context-Aware Access Control model to protect user's privacy and confidential information. The experimental result indicates that our proposed model is fine-grained, efficient and flexible to apply to different mobile platforms.

Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic

“…We also use other terms such as electronic education or online learning or virtual learning. e-Learning [ 2 ] is based on electronic education systems such as computer education systems, video-conference systems, and the related concepts including virtual reality, interactive video, and e-books. The literature divides e-learning into three crucial types: Synchronous e-learning: this is a kind of education that requires both learners and teachers to have direct interaction, such as exchanging ideas between them through chatting or virtual classes Asynchronous e-learning: this type does not require the teacher and learner to meet; the learner can interact with the educational content and interact through traditional methods such as e-mail or through the use of specialized software based on the multiple multimedia system Built-in education: education depends on the combination of simultaneous and asynchronous e-learning …”

“…We also use other terms such as electronic education or online learning or virtual learning. e-Learning [2] is based on electronic education systems such as computer education systems, video-conference systems, and the related concepts including virtual reality, interactive video, and e-books.…”

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“…Ye et al proposed a context-aware fine-grained access control scheme for the data stored in mobile devices [91]. The authors considered that sensed data, like audio may contain sensitive information concerning worker privacy.…”

“…To tackle this problem, Ye et al set a binary context attribute group for the collected data, and leveraged machine learning methods to decide the attribute group of the data. The attribute group enables a manager to decide whether the data is allowed to be uploaded to a server [91]. The scheme supports AC and DP.…”

Electronic commerce recommendation mobile crowd system based on cooperative data collection and embedded control

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