Literature Database Entry

erlacher2017high


Felix Erlacher and Falko Dressler, "High Performance Intrusion Detection Using HTTP-Based Payload Aggregation," Proceedings of 42nd IEEE Conference on Local Computer Networks (LCN 2017), Singapore, October 2017. (to appear)

Abstract

Signature-based Network Intrusion Detection Systems (NIDS) are an integral part of modern network security solutions. They help to detect and prevent network attacks and intrusions. However, they show critical performance problems in today’s high speed networks. Filters have been proposed to reduce the amount of traffic to be analyzed by a NIDS, yet, such filters need to be very carefully designed in order not to miss relevant data. We address this problem by proposing a novel concept for filtering taking into account the pipelining architecture of modern web traffic. Our concept, which we named HTTP-based Payload Aggregation (HPA), is able to retain the first N bytes of the basic Protocol Data Unit (PDU) of an application layer protocol and discard the rest, arguing that the retained payload portion contains almost all relevant data for intrusion detection. We demonstrate the feasibility of our approach focusing on HTTP traffic as the most prominent protocol in many Internet applications. The idea is, thus, to capture the first N bytes of every pipelined session and forward this data to a NIDS. In our evaluation, we show that for the used traces we still detect more than 97\% of the events with only 2.5\% of the network traffic to be analyzed. We achieve an increase in packet throughput of up to 44 in our experiments.

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Felix Erlacher
Falko Dressler

BibTeX reference

@inproceedings{erlacher2017high,
    author = {Erlacher, Felix and Dressler, Falko},
    title = {{High Performance Intrusion Detection Using HTTP-Based Payload Aggregation}},
    booktitle = {42nd IEEE Conference on Local Computer Networks (LCN 2017)},
    year = {2017},
    month = {October},
    address = {Singapore},
    publisher = {IEEE},
    note = {to appear},
   }
   
   

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