Sentence examples for network traffic analyses from inspiring English sources

Therefore, a resource dependency model is continuously learned from network traffic analyses inside an infrastructure.

We introduce in [11] an approach to automatically learn resource dependency model constantly from network traffic analyses, which we discuss later in Section 4.2.1 and present results in Section 4.2.

An intrusion detection sensor is defined as a device that collects and analyses network traffic for the purpose of identifying suspicious events.

Network forensics is a research area that gathers evidence by collecting and analysing network traffic data logs.

Sensor systems are designed to detect attacks against information networks by analysing network traffic and comparing this traffic to known attack-vectors, suspicious traffic profiles or content, while also recording attacks and providing information for the prevention of future attacks.

Therefore, this model is able to estimate performance early in the design and development stages simulating a multiprocessor architecture in charge of analysing network traffic.

The software can "intercept network traffic, keystrokes, Skype conversations, analyse WiFi traffic, PGP keys, fetch all information from Nokia devices, screen captures and monitor all file operations". It can also capture any encryption keys found on the machine, which can help launch attacks against other machines.

In more detail, a resource dependency model is learned from maximum likelihood estimates based on statistical analyses in network traffic meta data in a similar fashion to learning classical probabilistic graphical models.

Furthermore, two distinct modelling paradigms are proposed as ways of analysing and predicting network traffic data -from the time-series analysis and system identification communities respectively.

In this paper, a novel approach to analysing and visualising network traffic data based on growing hierarchical self-organising maps (GHSOM) is presented.

Analysing the data sets revealed multifractal network traffic.