Snort-based Intrusion Detection System for Practical Computer Networks - Karim, Imdadul;Vien, Quoc-Tuan
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A significant amount of research has been done to evaluate the performance of Network Intrusion Detection System (NIDS). Most of the works were performed in a moderate traffic condition. It is not worth enough to analyse the NIDS performance based on non-realistic traffic flow and under limited conditions. In this project, authors introduce some realistic off-the-shelf hardware specification for performance evaluation and network design of the NIDS. The main goal is to evaluate the performance of an open-source NIDS called Snort. Despite a number of research works on the same area, this…mehr

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Produktbeschreibung
A significant amount of research has been done to evaluate the performance of Network Intrusion Detection System (NIDS). Most of the works were performed in a moderate traffic condition. It is not worth enough to analyse the NIDS performance based on non-realistic traffic flow and under limited conditions. In this project, authors introduce some realistic off-the-shelf hardware specification for performance evaluation and network design of the NIDS. The main goal is to evaluate the performance of an open-source NIDS called Snort. Despite a number of research works on the same area, this research brings a unique performance evaluation for modern operating systems and networks. In particular, this project proposes a best performing NIDS by introducing a parallel NIDS using Snort processors with a centralised database for network security implementation. An improved performance for enhanced network traffic is realised and verified through a comparative study. The work should help shed some light on dealing with attackers in a variety of practical network models and should be especially useful to professionals working on Computer and Communications fields in both industry and academia.
Autorenporträt
Imdadul Karim est ingénieur réseau chez Arvato Bertelsmann. Il a obtenu son MSc en réseaux informatiques avec distinction à l'Université de Middlesex en 2015 sous la supervision du Dr Q.-T. Vien. Il a 10 ans d'expérience dans le domaine des technologies de l'information et des réseaux, et travaillait auparavant chez Concise en tant qu'ingénieur réseau principal. Ses certificats professionnels incluent CCNA, CCNP et WiSE.