The rapid growth and deployment of network technologies and Internet services has made security and management of networks a challenging research problem. This growth is accompanied by an exponential growth in the number of network attacks, which have become more complex, more organized, more dynamic, and more severe than ever. Current network protection techniques are static, slow in respondin...

Dynamic networks, also called network streams, are an important data representation that applies to many real-world domains. Many sets of network data such as e-mail networks, social networks, or internet traffic networks have been analyzed in the past mostly using static network models and are better represented by a dynamic network due to the temporal component of the data. One important appl...

Mobile adhoc networks, abbreviated as MANETs are more vulnerable to various attacks than other types of networks. This is because of natural properties of MANETs such as dynamic topology, ever changing infrastructure and lack of central controller. Hence detecting anomaly behaviours in MANETs is a challenging task and this topic has attracted many researchers. In this paper, clustering method b...

Web site defacement, the process of introducing unauthorized modifications to a web site, is a very common form of attack. Detecting such events automatically is very difficult because web pages are highly dynamic and their degree of dynamism, as well as their typical content and appearance, may vary widely across different pages. Anomaly based detection can be a feasible and effective solution...

Despite the growing popularity of 802.11 wireless networks in many public places, wireless users often suffer from connectivity problems due to unstable radio conditions and dynamic user behavior among other reasons. Detecting the anomalous cases and planning to prevent such problems in advance are in the thick of major challenges that network managers encounter. Complication of monitoring such...

Data is continuously being generated from sources such as machines, network traffic, application logs, etc. Timely and accurate detection of anomalies in massive data streams have important applications in preventing machine failures, intrusion detection, and dynamic load balancing. In this paper, we introduce a new anomaly detection algorithm, which can detect anomalies in a streaming fashion ...

The optimization of transport logistics in production environments is a holistic task for the factory future. Autonomous guided vehicles that perform jobs factories are facing this challenge and have to detect, react prepare unforeseen changes anomalies system. Due data protection concerns, details like plans often not available an external transportation Hence anomaly detection has be based on...