伴随云计算技术的飞速发展, 其所面临的安全问题日益凸显, 在工业界和学术界引起了广泛的
关注. 传统的云基础架构中存在较高安全风险, 攻击者对虚拟机的非法入侵破坏了云服务或资源 …

Nowadays, outsourcing data and machine learning tasks, eg,-nearest neighbor (KNN)
classification, to clouds has become a scalable and cost-effective way for large scale data …

To enjoy the advantages of cloud service while preserving security and privacy, huge data
are increasingly outsourced to cloud in encrypted form. Unfortunately, most conventional …

Several schemes for k-nearest neighbors (k-NN) query over encrypted data in cloud have
been proposed recently. Nevertheless, existing schemes either suppose each query user is …

Set similarity search, aiming to search the similar sets to a query set, has wide application in
today's recommendation services. Meanwhile, the rapid advance in cloud technique has …

To utilize the cost-saving advantages of the cloud computing paradigm, individuals and
enterprises increasingly resort to outsource their databases and data operations to cloud …

As a practical machine learning method, the K-nearest neighbors (KNN) classification has
received widespread attention. The achievement of the KNN classification relies heavily on …

Nowadays, individuals and companies increasingly tend to outsource their databases and
further data operations to cloud service provides. However, utilizing the cost-saving …

Cancelable biometric schemes have been widely studied to protect templates in biometric
authentication over networks. These schemes transform biometric features and perform …

Thanks to the popularity of mobile devices numerous location-based services (LBS) have
emerged. While several privacy-preserving solutions for LBS have been proposed, most of …