DIFFERENTIAL PRIVACY-BASED SYSTEM AND METHOD FOR COLLABORATIVE WEB QUALITY-OF-SERVICE PREDICTION FOR PRIVACY PROTECTION

摘要

Disclosed is a differential privacy-based system for collaborative Web quality-of-service prediction for privacy protection. The system comprises a data collection module, a data disguise module, a collaborative filtering module and a result prediction module, wherein the data collection module is used so that each user locally collects a quality-of-service value, i.e. a QoS value; the data disguise module is used for disguising the collected quality-of-service value; the collaborative filtering module is used for carrying out collaborative filtering on the collected quality-of-service value disguised by the data disguise module; and the result prediction module predicts a result according to the quality-of-service value filtered by the collaborative filtering module. In addition, further disclosed is a differential privacy-based method for collaborative Web quality-of-service prediction for privacy protection. The present invention introduces differential privacy to a collaborative Web service QoS prediction framework for the first time, and a user can obtain the maximum privacy protection by means of ensuring the availability of data. An experiment result indicates that the system and the method of the present invention provide secure and accurate collaborative Web service QoS prediction.