4D-KDE: A Lightweight Defense Framework Against Data Poisoning Attacks in Crowdsensing with Local Differential Privacy
Local differential privacy (LDP) can mask poisoning behavior in crowdsensing by making poisoned sensory data difficult to distinguish from benign sensory data, which in turn makes malicious workers difficult to identify and undermines reliable truth discovery. Conventional value based defenses lose discriminative power...