Network traffic anomaly detection is an important technique of ensuring network security.
However, there are usually three problems with existing machine learning based anomaly …

The proliferation of Internet of Things devices has resulted in an increase in security
vulnerabilities and network attacks. The Mirai botnet is a well-known example of a network …

The use of a swarm of low-cost, mission-specific drones to form a Flying Ad-hoc Network
(FANET) has literally become a'hotspot'in the drone community. A number of studies have …

The contributions given in this paper are in two aspects. The first is to introduce a novel
random function, which we call the multi-fractional generalized Cauchy (mGC) process. The …

The highlights in this paper are in two aspects. First, we introduce a type of novel fractional
noise termed generalized fractional Gaussian noise (gfGn). Its autocorrelation function …

Human-to-machine (H2M) communications in emerging tactile-haptic applications are
characterized by stringent low-latency transmission. To achieve low-latency transmissions …

Real-time classification of internet traffic is critical for the efficient management of networks.
Classification approaches based on machine learning techniques have shown promising …

The rapid development of Internet of Things (IoT) technology, together with mobile network
technology, has created a never-before-seen world of interconnection, evoking research on …

Getting good statistical models of traffic on network links is a well-known, often-studied
problem. A lot of attention has been given to correlation patterns and flow duration. The …

Apple recently published its first Beta of the iCloud Private Relay, a privacy protection
service with promises resembling the ones of VPNs. The architecture consists of two layers …