MOBILE Computing

  • AdSherlock Efficient and Deployable Click Fraud Detection for Mobile Applications

  • Distributed Time-Sensitive Task Selection in Mobile Crowdsensing

  • Eclipse Preserving Differential Location Privacy Against Long-Term Observation Attacks

  • Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowd Sensing

  • Fine Grained User Profiling for Personalized Task Matching in Mobile Crowd Sensing

  • KOLLECTOR Detecting Fraudulent Activities on Mobile Devices Using Deep Learning

  • PACE Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowd Sensing

  • Predictability and Prediction of Human Mobility Based on Application-collected Location Data

  • Privacy-Preserving Media Sharing with Scalable Access Control and Secure De duplication in Mobile Cloud Computing

  • Protecting Your Shopping Preference with Differential Privacy

  • Proximity-Aware Location Based Collaborative Sensing for Energy-Efficient Mobile Devices

  • Social Recruiter Dynamic Incentive Mechanism for Mobile Crowd Sourcing Worker Recruitment with Social Networks

  • Towards Fine-Grained Access Control in Enterprise-Scale Internet-of-Things

  • Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowd Sensing Systems