@inproceedings{337a59637e134aa5b8fe48906bebe361,
title = "CLEF: Limiting the damage caused by large flows in the internet core",
abstract = "The detection of network flows that send excessive amounts of traffic is of increasing importance to enforce QoS and to counter DDoS attacks. Large-flow detection has been previously explored, but the proposed approaches can be used on high-capacity core routers only at the cost of significantly reduced accuracy, due to their otherwise too high memory and processing overhead. We propose CLEF, a new large-flow detection scheme with low memory requirements, which maintains high accuracy under the strict conditions of high-capacity core routers. We compare our scheme with previous proposals through extensive theoretical analysis, and with an evaluation based on worst-case-scenario attack traffic. We show that CLEF outperforms previously proposed systems in settings with limited memory.",
keywords = "Damage metric, Large-flow detection, Memory and computation efficiency",
author = "Hao Wu and Hsiao, {Hsu Chun} and Asoni, {Daniele E.} and Simon Scherrer and Adrian Perrig and Hu, {Yih Chun}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 17th International Conference on Cryptology and Network Security, CANS 2018 ; Conference date: 30-09-2018 Through 03-10-2018",
year = "2018",
doi = "10.1007/978-3-030-00434-7_5",
language = "English (US)",
isbn = "9783030004330",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "89--108",
editor = "Panos Papadimitratos and Jan Camenisch",
booktitle = "Cryptology and Network Security - 17th International Conference, CANS 2018, Proceedings",
address = "Germany",
}