Andere Kunden interessierten sich auch für
![Snort-basiertes Intrusion Detection System für praktische Computernetze]( "Snort-basiertes Intrusion Detection System für praktische Computernetze")
Snort-basiertes Intrusion Detection System für praktische Computernetze55,90 €![Enhanced Intrusion Detection System Using Machine Learning Techniques]( "Enhanced Intrusion Detection System Using Machine Learning Techniques")
Enhanced Intrusion Detection System Using Machine Learning Techniques43,99 €![Honeypot Based Intrusion Detection System]( "Honeypot Based Intrusion Detection System")
Honeypot Based Intrusion Detection System32,99 €![Intrusion Detection Engine for Adhoc Environment]( "Intrusion Detection Engine for Adhoc Environment")
Intrusion Detection Engine for Adhoc Environment33,99 €![Intrusion Detection and Prevention Concepts and Techniques]( "Intrusion Detection and Prevention Concepts and Techniques")
Intrusion Detection and Prevention Concepts and Techniques41,99 €![A Inner Interruption Discovery and Defense System by using Data Mining]( "A Inner Interruption Discovery and Defense System by using Data Mining")
A Inner Interruption Discovery and Defense System by using Data Mining24,99 €![Mitigation of Blackhole Attack Using IDS in Mobile Adhoc Networks]( "Mitigation of Blackhole Attack Using IDS in Mobile Adhoc Networks")
Mitigation of Blackhole Attack Using IDS in Mobile Adhoc Networks33,99 €
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.