Anomaly detection in IP networks

A Distributed and Reliable Platform for Adaptive Anomaly Detection in IP Networks

Algorithms for anomaly detection in IP networks have been developed and a real-time distributed platform for anomaly detection has been implemented. These algorithms automatically and adaptively detect “soft” network faults (performance degradations) in IP networks. These algorithms are implemented as a reliable and fully distributed real-time software platform called NSAD (Network/Service Anom...

Dynamic anomaly detection by using incremental approximate PCA in AODV-based MANETs

Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...

A Survey of Anomaly Detection Approaches in Internet of Things

Internet of Things is an ever-growing network of heterogeneous and constraint nodes which are connected to each other and the Internet. Security plays an important role in such networks. Experience has proved that encryption and authentication are not enough for the security of networks and an Intrusion Detection System is required to detect and to prevent attacks from malicious nodes. In this ...

Graph Based Clustering for Anomaly Detection in IP Networks

Large-scale IP network behavior anomaly detection and identification using substructure-based approach and multivariate time series mining

In this paper, a substructure-based network behavior anomaly detection approach, called WFS (Weighted Frequent Subgraphs), is proposed to detect the anomalies of a large-scale IP networks. With application of WFS, an entire graph is examined, unusual substructures of which are reported. Due to additional information given by the graph, the anomalies are able to be detected more accurately. With...

RIDES: Robust Intrusion Detection System for IP-Based Ubiquitous Sensor Networks

The IP-based Ubiquitous Sensor Network (IP-USN) is an effort to build the "Internet of things". By utilizing IP for low power networks, we can benefit from existing well established tools and technologies of IP networks. Along with many other unresolved issues, securing IP-USN is of great concern for researchers so that future market satisfaction and demands can be met. Without proper security ...