Analysing of M-AHIDS with Future States on DARPA and KDD99 Benchmarks

نویسندگان

  • Mikulás Pataky
  • Damas P. Gruska
چکیده

Second generation of Multi-agent heterogeneous intrusion detection system (M-AHIDS) is a prototype proposed to detect untrusted and unusual network behaviour. The M-AHIDS is based on online traffic statistics in sFlow format acquired by network device with the sFlow agent and is able to perform a real-time surveillance of the 10 Gb networks. However, after an immense reimplementation it is capable to process also offline data set from DARPA Intrusion Detection Evaluation Data Set and KDD99 Cup data set. Offline data sets are used for the correct comparison with another IDSs. The main contribution of the system is the integration of several anomaly detection techniques, new future state prognostic and new machinery of multi-agent temporal logic with hybrid argumentation. Every detection technique is represented by featuring a specific detection autonomous agent. At this stage, every agent determines the flow trustfulness from aggregated connection. The anomalies are used as an input for machinery of multi-agent temporal logic which is represented by the logical agent. M-AHIDS is already partially implemented, tested and modified accordingly for more than three years.

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تاریخ انتشار 2016