Simulative Analysis of Adaptive Network Monitoring Methodologies for Attack Detection

Due to the rapid growth of network traffic and available bandwidth, scalable network monitoring has become a major issue in the last years. Additionally, the importance of correct and complete monitoring data increased, e.g. for attack detection or accounting issues. Based on bio-inspired methodologies, we propose an adaptive mechanism for preventing single systems of being overloaded while providing as much monitoring information as possible for post-processing. Using a simulation model, we verified the applicability of our approach