International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have fostered the development of open sensing applications, such as network quality or weather forecast applications. In this paper, we present a novel privacy-preserving crowdsourcing platform relying on two components: APISENSE and PRIVAPI. APISENSE is a distributed middleware platform that leverages the dynamic deployment of crowdsourcing tasks across a population of mobile phones. PRIVAPI is a middleware handling privacy-preserving publication of mobility data
The Internet of Things (IoT) has attracted the interests of both academia and industry and enables v...
Mobile crowdsensing has emerged as an efficient sensing paradigm that combines the crowd intelligenc...
We are approaching an environment where ubiquitous com-puting devices will constantly accept input v...
International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have...
National audienceCrowd-sensing, also known as mobile crowdsourcing, is a growing research topic, whi...
International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have...
International audienceMobile crowdsourcing is being increasingly used by industrial and research com...
Information and communication technologies have been evolving rapidly, providing more and more alte...
Abstract—Mobile crowd sensing enables a broad range of novel applications by leveraging mobile devic...
Recent advances in sensing, computing, and networking have paved the way for the emerging paradigm o...
International audienceMobile participatory sensing could be used in many applications such as vehicu...
International audienceMobile participatory sensing (MPS) could benefit many application domains. A m...
The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile ap...
Information and Communication Technology is commonly recognized as one of the key enablers in improv...
Privacy issues are strongly impeding the development of mobile crowd sensing (MCS) applications. Und...
The Internet of Things (IoT) has attracted the interests of both academia and industry and enables v...
Mobile crowdsensing has emerged as an efficient sensing paradigm that combines the crowd intelligenc...
We are approaching an environment where ubiquitous com-puting devices will constantly accept input v...
International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have...
National audienceCrowd-sensing, also known as mobile crowdsourcing, is a growing research topic, whi...
International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have...
International audienceMobile crowdsourcing is being increasingly used by industrial and research com...
Information and communication technologies have been evolving rapidly, providing more and more alte...
Abstract—Mobile crowd sensing enables a broad range of novel applications by leveraging mobile devic...
Recent advances in sensing, computing, and networking have paved the way for the emerging paradigm o...
International audienceMobile participatory sensing could be used in many applications such as vehicu...
International audienceMobile participatory sensing (MPS) could benefit many application domains. A m...
The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile ap...
Information and Communication Technology is commonly recognized as one of the key enablers in improv...
Privacy issues are strongly impeding the development of mobile crowd sensing (MCS) applications. Und...
The Internet of Things (IoT) has attracted the interests of both academia and industry and enables v...
Mobile crowdsensing has emerged as an efficient sensing paradigm that combines the crowd intelligenc...
We are approaching an environment where ubiquitous com-puting devices will constantly accept input v...