Perturbation based privacy in crowdsensing
Auteur :
Zheng, Zhirun / Li, Zhetao / Shen, Xuemin
Éditeur :
Springer International Publishing AG
ISBN :
9783031950513
Date de publication :
22 juil. 2025
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The authors first present an explicit overview of crowdsensing systems and privacy challenges and briefly discuss how the noise added by perturbation-based privacy-preserving techniques could inevitably degrade data quality and facilitate the success of data poisoning attacks on crowdsensing.