Size agnostic change point detection framework for evolving networks

Structual Change Point Detection for Evolutional Networks

We propose a change point detection algorithm for a sequence of graphs. Our algorithm focuses on the change of the structure of densely connected subgraphs (community structure) rather than the change of the link weights. In contrast to the traditional approaches, the algorithm can identify the structure change more sensitively. Experiments with a synthetic data and a real-world data of graphs ...

Change Point Detection in Correlation Networks

Many systems of interacting elements can be conceptualized as networks, where network nodes represent the elements and network ties represent interactions between the elements. In systems where the underlying network evolves, it is useful to determine the points in time where the network structure changes significantly as these may correspond to functional change points. We propose a method for...

FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks

The aim of this paper is a hardware realization of a statistical anomaly detection method as a part of high-speed monitoring probe for computer networks. The sequential Non-Parametric Cumulative Sum (NP-CUSUM) procedure is the detection method of our choice and we use an FPGA based accelerator card as the target platform. For rapid detection algorithm development, a high-level synthesis (HLS) a...

Content Agnostic Malware Detection in Networks

Bots are the root cause of many security problems on the Internet – they send spam, steal information from infected machines, and perform distributed denial of service attacks. Given their security impact, it is not surprising that a large number of techniques have been proposed that aim to detect and mitigate bots, both network-based and host-based approaches. Detecting bots at the network-lev...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation