Hybrid Machine Learning–Based Trust Management Approach to Secure the Mobile Crowdsourcing
inforesearchPeer-Reviewed
securityresearch
Source: ACM Digital Library (TOPS, DTRAP, CSUR)March 16, 2026
Summary
This research article proposes a hybrid machine learning approach to improve trust management and security in mobile crowdsourcing (a system where mobile users contribute data or complete tasks for a distributed project). The study combines multiple machine learning techniques to identify trustworthy participants and protect against malicious actors in crowdsourcing environments.
Classification
Attack SophisticationModerate
Impact (CIA+S)
integrityavailability
Original source: https://dl.acm.org/doi/abs/10.1145/3785006?af=R
First tracked: March 16, 2026 at 05:11 PM
Classified by LLM (prompt v3) · confidence: 72%