SPS Webinar

Future networks must provide services to a range of applications and devices with competing and perhaps conflicting requirements while simultaneously allowing flexible deployment. Software Defined Networks (SDN) have a critical role to play in securing such networks against sophisticated security attacks, with its ability to manage dynamically security policies for monitoring and controlling traffic and enforcing them via virtualized network functions. 

A new era of pervasive data generation is enabled by emerging sensing modalities and will pose new challenges to signal processing, data science, and robotics. For example, underwater robotic technology enables the development of advanced networks for underwater localization and mapping, and emerging aerial robotic technology enables the development of advanced networks for wide area localization and mapping. 

In the past decade, deep learning methods have achieved unprecedented performance on a broad range of problems in various fields from computer vision to speech recognition. So far research has mainly focused on developing deep learning methods for Euclidean-structured data.

With cloud storage services, users can remotely store their data to the cloud and realize the data sharing with others. Remote data integrity auditing is proposed to guarantee the integrity of the data stored in the cloud. In some common cloud storage systems, such as the electronic health records system, the cloud file might contain some sensitive information that should not be exposed to others when the cloud file is shared.