We introduce a new multiresolution watermarking method for digital images. The method is
based on the discrete wavelet transform (DWT). Pseudo-random codes are added to the …

Mobile crowd sensing (MCS) is a technique where sensing tasks are outsourced to a crowd
of mobile users. Since most of sensing tasks are location-dependent, workers are required …

We develop an auction framework for privacy-preserving data aggregation in mobile
crowdsensing, where the platform plays the role as an auctioneer to recruit workers for …

The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource sensory data collection to the public crowd. In order …

Incentive mechanism plays a critical role in privacy-aware crowdsensing. Most previous
studies assume a trustworthy fusion center (FC) in their co-design of incentive mechanism …

Mobile data crowdsourcing has found a broad range of applications (eg, spectrum sensing,
environmental monitoring) by leveraging the" wisdom" of a potentially large crowd of" …

With the commoditization of personal data, pricing privacy has become an intriguing topic. In
this paper, we study time-series data trading from the perspective of a data broker in data …

Mobile crowd sensing (MCS) arises as a promising data collection paradigm that leverages
the power of ubiquitous mobile devices to acquire rich information regarding their …

To protect users' right to be forgotten in federated learning, federated unlearning aims at
eliminating the impact of leaving users' data on the global learned model. The current …

The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource sensory data collection to the public crowd. In order …