Literature Database Entry

doroud2023work


Hossein Doroud, Tobias Wiese, Felix Erlacher and Falko Dressler, "Work Balancing vs. Load Balancing for Network IDS Parallelization," Proceedings of IEEE International Wireless Communications & Mobile Computing Conference (IWCMC 2023), Marrakesh, Morocco, June 2023, pp. 488–493.


Abstract

Signature-based Network Intrusion Detection Systems (NIDS) is state-of-the-art for precise attack detection. Parallelization using multiple instances of NIDS in parallel is considered the most promising solution for improving its processing speed in the scale of high speed network. This can be realized by (1) distributing the network traffic between multiple NIDS to reduce the network load per system or (2) distributing the signatures (rules) between multliple NIDS to reduce the work load per packet. In this paper, we study distribution strategies targeting application and transport layer for both traffic and rule distribution approaches. In addition, we investigate the importance of considering the processing speed optimization in the rule development phase. Our experiments show that in general traffic distribution performs slightly better in terms of packet drop and alert detection compared to rule distribution. The Transport layer distribution strategy shows traffic distribution parallelization detecting 1.6% more alerts and dropping 6% less packets. We also show that optimizing the rules sets further improves the processing speed significantly.

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Hossein Doroud
Tobias Wiese
Felix Erlacher
Falko Dressler

BibTeX reference

@inproceedings{doroud2023work,
    author = {Doroud, Hossein and Wiese, Tobias and Erlacher, Felix and Dressler, Falko},
    doi = {10.1109/IWCMC58020.2023.10183026},
    title = {{Work Balancing vs. Load Balancing for Network IDS Parallelization}},
    pages = {488--493},
    publisher = {IEEE},
    issn = {2376-6506},
    address = {Marrakesh, Morocco},
    booktitle = {IEEE International Wireless Communications \& Mobile Computing Conference (IWCMC 2023)},
    month = {6},
    year = {2023},
   }
   
   

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Last modified: 2024-06-16