Data confidentiality is a central concern in modern computer systems and services, as
sensitive data from users and companies are being increasingly delegated to such systems …

Data, when coupled with state-of-the-art machine learning models, can enable remarkable
applications. But, there exists an underlying tension: users wish to keep their data private …

Task scheduling has always been one of the crucial problem in cloud computing. With the
transition of task types from static batch processing to dynamic stream processing, the …

The Sixth Generation Heterogeneous Network (6G HetNet) is a global interconnected
system that serves a myriad variety of applications and services across multiple domains …

Kubernetes (K8s) has become a core technology for cloud-native applications. However, a
design flaw of the external IP in K8s leads to the service-oriented man-in-the-middle attack …

Intel SGX is a promising TEE technique that can protect programs running in user space
from being maliciously accessed by the host operating system. Although it provides …

Secure computing methods such as fully homomorphic encryption and hardware solutions
such as Intel Software Guard Extension (SGX) have been applied to provide security for user …

Abstract Outsourcing Machine Learning (ML) tasks to cloud servers is a cost-effective
solution when dealing with distributed data. However, outsourcing these tasks to cloud …

Fully homomorphic encryption (FHE) is a powerful encryption technique that allows for
computation to be performed on ciphertext without the need for decryption. FHE will thus …

Data, when coupled with state-of-the-art machine learning models, can enable remarkable
applications. But, there exists an underlying tension: users wish to keep their data private …