Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …

In this work we develop an approach for anomaly detection for large scale networks such as
that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that of a …

Distributed denial of service (DDoS) attacks have become one of the main factors restricting
the development of internet of vehicles (IoV). Although some intelligent reinforcement …

Traffic matrix estimation is well-studied, but in general has been treated simply as a
statistical inference problem. In practice, however, network operators seeking traffic matrix …

Accurately predicting future service traffic would be of great help for load balancing and
resource allocation, which plays a key role in guaranteeing the quality of service (QoS) in …

The vision of next-generation TV is to support media services to achieve sharing of cross-
domain experience, and the eMBB scenario of the 5G network is one of its important driving …

The main use of intrusion detection systems (IDS) is to detect attacks against information
systems and networks. Normal use of the network and its functioning can also be monitored …

Dynamic systems of graph signals are encountered in various applications, including social
networks, power grids, and transportation. While such systems can often be described as …

We consider the problem of recovering random, time-varying graph processes in a nonlinear
dynamic system. The Extended Kalman filter (EKF) is a suitable estimator for such dynamics …

Along with the commercialization of evolved multimedia broadcast multicast services
(eMBMS), the number of mobile broadcasting users is growing notably. Previous works …