Sentence examples for multiple intrusion detection from inspiring English sources

In this paper, we present the design of a collaborative architecture for multiple intrusion detection systems to work together to detect real-time network intrusions.

The distributed IDS systems consist of multiple intrusion detection systems which are dissimilar in nature.

The work in this paper discusses the limitations and issues with evidence theory and proposes a modified framework for fusion of alarms of multiple intrusion detection systems.

For alert fusion of multiple intrusion detection systems, four heterogeneous intrusion detection systems namely, Snort, Suricata, packet header anomaly detector (PHAD) and network anomaly detector (NETAD) have been selected.

For example, del Río et al. [63] used only multiple mappers (no reducer) for network intrusion detection with rForest.

A simulator has been developed to simulate the intrusion detection process with multiple intruders in 3D environment with sensors that are distributed by using various probability distributions.

This paper proposes a multiple-level hybrid classifier, a novel intrusion detection system, which combines the supervised tree classifiers and unsupervised Bayesian clustering to detect intrusions.

A new feature, Intrusion Detection with AutoBlock, can detect port scans and block further intrusion attempts.

Obviously, the multiple matching approach is a better choice for intrusion detection to avoid sweeping the packet many times.

Lastly, MLAs are developed based on a single learning task, and thus they are not suitable for multiple learning tasks and knowledge transfers required for effective intrusion detection and prevention.

Flow-based intrusion detection is an innovative way of detecting intrusions in high-speed networks.