Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
UPnP is a widely-spread connectivity standard, which allows networked devices to cooperate in an autonomous fashion by using functionality found on the network. In this article we...
ABSTRACT. We present the MOlecular NETwork (MONET) ontology as a model to integrate data from different networks that govern cell function. To achieve this, different existing onto...
In the future, voice communication is expected to migrate from the public switched telephone network to the Internet. Because of the particular characteristics (low volume and bur...