Adversarial Machine Learning-Driven Fake Task Anticipation in Mobile Crowdsensing Systems

Mobile Crowdsensing (MCS) enables access to distributed sensing sources of personalized devices so to support various smart services. Services and applications that can benefit from MCS are various such as transportation, health care, public safety, smart mobility and many others. Distributed nature and lack of a pre-established trust mechanism in MCS systems make them vulnerable in the presence o...