Industries have embraced cloud computing for their daily operations due to the volume of
data they create. As data generation and consumption have increased, the challenges and …

With the rapid development of big data and the Internet of Things (IoT), traffic data from an
Intelligent Transportation System (ITS) is becoming more and more accessible. To …

Industries have embraced cloud computing for their daily operations due to the volume of
data they create. As data generation and consumption have increased, the challenges and …

Outsourcing confidential data to cloud storage leads to privacy challenges that can be
reduced using encryption. However, with encryption in place, the utilization of the data is …

With the rapid development of the Internet of Things (IoT), network security challenges are
becoming more and more complex, and the scale of intrusion attacks against the network is …

In Internet applications, network conversation is the primary communication between the
user and server. The server needs to efficiently and quickly return the corresponding service …

Sufficient annotated data is critical to the success of deep learning methods. Annotating for
vessel segmentation in X-ray coronary angiograms is extremely difficult because of the small …

Searching encrypted or compressed data provides security and privacy without sacrificing
efficiency. It has many applications in cloud storage, bioinformatics, IoT, unmanned aerial …

Aerial computing networks arefacing the challenge of massive node access, where user
devices generally have stringent latency and robustness requirements. Rate Splitting …

Organizations prefer using cloud for storing their data due to availability of cost‐effective
storage. The outsourced data include sensitive information, so data is encrypted as …