In this paper, we propose a novel approach to distributed intrusion detection systems based on the architecture of recently proposed event processing frameworks ...

This paper has designed and implemented a prototype system using Apache Storm to show the benefits of the proposed approach as well as the architectural ...

In this paper, we propose a novel approach to distributed intrusion detection systems based on the architecture of recently proposed event processing frameworks ...

Abstract—Network Intrusion Detection Systems (NIDS) are an integral part of modern data centres to ensure high avail- ability and compliance with Service ...

So far, solutions against DDoS attacks in this context have been implemented through complex, centralized software and hardware-based mechanisms [4].

Sep 10, 2024 · This document describes the motivation and architecture of a Network Anomaly Detection Framework and the relationship to other documents describing network ...

Nov 27, 2021 · We propose MDistrib and its variants which provides (a) faster detection of anomalous events via distributed processing with GPU support ...

Network anomalies refer to situations when observed network traffic deviate from normal network behaviour. In this paper, we propose a general framework which ...

Feb 7, 2024 · As shown in Figure 1, the LAD framework consists of three phases: log processing, log mining, and anomaly detection. A log message normally ...

Anomaly Detection (AD) is an important area to reliably detect malicious behavior and attacks on computer systems. Log data is a rich source of information ...