IEEE Mini Mobile Computing Projects Delhi
|1||AdSherlock Efficient and Deployable Click Fraud Detection for Mobile Applications||MOBILE COMPUTING|
|2||Distributed Time-Sensitive Task Selection in Mobile Crowdsensing||MOBILE COMPUTING|
|3||Eclipse Preserving Differential Location Privacy Against Long-Term Observation Attacks||MOBILE COMPUTING|
|4||Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowd Sensing||MOBILE COMPUTING|
|5||Fine Grained User Profiling for Personalized Task Matching in Mobile Crowd Sensing||MOBILE COMPUTING|
|6||KOLLECTOR Detecting Fraudulent Activities on Mobile Devices Using Deep Learning||MOBILE COMPUTING|
|7||PACE Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowd Sensing||MOBILE COMPUTING|
|8||Predictability and Prediction of Human Mobility Based on Application-collected Location Data||MOBILE COMPUTING|
|9||Privacy-Preserving Media Sharing with Scalable Access Control and Secure De duplication in Mobile Cloud Computing||MOBILE COMPUTING|
|10||Protecting Your Shopping Preference with Differential Privacy||MOBILE COMPUTING|
|11||Proximity-Aware Location Based Collaborative Sensing for Energy-Efficient Mobile Devices||MOBILE COMPUTING|
|12||Social Recruiter Dynamic Incentive Mechanism for Mobile Crowd Sourcing Worker Recruitment with Social Networks||MOBILE COMPUTING|
|13||Towards Fine-Grained Access Control in Enterprise-Scale Internet-of-Things||MOBILE COMPUTING|
|14||Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowd Sensing Systems||MOBILE COMPUTING|
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