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Location-Based Services (LBSs) are becoming popular due to the advances in mobile networks and positioning capabilities. When a user sends a query with his exact location to the LBS server, the server processes the query and returns Points of Interest (POIs) to the user. Providing user's exact location to the LBS server may lead revealing his private information to unauthorized parties (e.g., adversaries)...
With the development of wireless communication technologies and popularity of smart phones, many people are using location-based services (LBSs). However, since users continuously request queries to LBS server by using their exact locations, their privacy information is always in danger. Because the existing techniques provide user's privacy protection operating on centralized system, an anonymizer...
The proliferation of position identifying devices becomes increasing privacy threat in location-based services (LBSs). It is necessary to tackle the privacy threat of a user in processing his/her request because the user has to submit his/her exact location with a query to the LBS. In road networks, X-Star provides a star-graph based cloaking method that can protect a user's privacy from attack resilience...
Many applications require reliable and trustful data aggregation in Wireless Sensor Networks (WSNs). In this paper, we propose a new scheme to achieve data privacy and integrity protection in data aggregation for WSNs, called Preserving Privacy and Assuring Integrity (PPAI) scheme. For this, before data transmission, the PPAI scheme blurs the original sampled data of a sensor node by randomly breaking...
Location Based Services (LBSs) have recently attracted much attention due to the advancement of GPS facilitates. In LBS, the private and confidential information of user may disclose to others since LBS need a user's location. To protect the privacy of users, many cloaking algorithms have been proposed to hide user's actual location. The existing Hilbert cloaking algorithm support location privacy,...
Since wireless sensor networks (WSNs) are resources- constrained, it is very essential to gather data efficiently so that the life of the networks can be prolonged. Data aggregation can conserve a significant amount of energy by minimizing the transmission costs in terms of the number of data packets. On the other hand, many applications require privacy of the sampled data protecting their integrity...
Many wireless sensor network (WSN) applications require privacy of the sampled data during transmission from the source nodes to a data collecting device, say a query server. Providing an efficient data aggregation scheme with preserving data privacy is a challenging problem in WSNs. Although the secure data aggregation in WSNs has been well studied in the recent years, there exists a little work,...
Many applications require the privacy of the sampled data while they travel from the source sensor nodes to data collecting device, say data sink. Providing an efficient data aggregation scheme with preserving data privacy is a challenging problem in the research of wireless sensor networks (WSNs). Although the secure data aggregation in WSNs has been well studied in the recent years, there exists...
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