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Rescue Wings: Mobile Computing and Active Services Support for Disaster Rescue

                                           During disaster events, timely and targeted information provision and exchange could provide great help to the stricken population in difficult and complicated environments. This paper reports a service oriented system, called Rescue Wings, for providing emergency support to sufferers and rescuers in disasters. The system utilizes mobile services to acquire real-time information about the users and environment, and constructs service agents (servants) to provide active services for mobile users. To perform their functions, the servants frequently invoke a set of intelligent services of Rescue Wings, which can further access a number of public services from government and other public organizations.                                    ...
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MobiGroup: Enabling Lifecycle Support to Social Activity Organization and Suggestion With Mobile Crowd Sensing

                                                This project presents a group-aware mobile crowd sensing system called MobiGroup , which supports group activity organization in real-world settings. Acknowledging the complexity and diversity of group activities, this paper introduces a formal concept model to characterize group activities and classifies them into four organizational stages. We then present an intelligent approach to support group activity preparation, including a heuristic rule-based mechanism for advertising public activity and a context-based method for private group formation. In addition, we leverage features extracted from both online and offline communities to recommend ongoing events to attendees with different needs.                                  ...
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Leakage Detection and Risk Assessment on Privacy for Android Applications: LRPAndroid

                          How to identify and manage information leakage of user privacy is a very crucial and sensitive topic for handheld mobile device manufacturers, telecommunication companies, and mobile device users. As the success of a financial fraud usually requires possessing a victim’s private information, new types of personal identity theft and private information acquirement attack are developed and deployed along with various Apps in order to steal personal private information from mobile device users. With more than 50% of smartphone market share, Android-based mobile phone vendors and Internet service providers have to face the new challenge on user privacy management.                          In this paper, we present a user privacy analysis framework for an Android platform called LRPdroid. The goals of LRPdroid are to achieve inf...
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