Kex-Filtering: A Proactive Approach to Filtering
Fabrizio Baiardi, Filippo Boni, Giovanni Braccini, Emanuele Briganti, Luca Deri, Luca Deri
2024
Abstract
Kex-Filtering is a method to identify malicious nodes by analyzing their configuration when they try to connect as clients to an SSH server. The process adopts the hassh hashing network fingerprinting standard to discover and record the distinct configurations of malicious SSH clients. The method computes an MD5 hash during the SSH handshake when the client and server exchange their SSH configurations, including a specific range of algorithms to establish a secure SSH channel. Kex-Filtering fully exploits that, to simplify botnet management, a large number of nodes of a botnet share the same configuration of their SSH clients. Experimental data collected through honeypots confirm that Kex-Filtering stops a large percentage of attacks and it results in a very low number of false positives and negatives even when using few hashes.
DownloadPaper Citation
in Harvard Style
Baiardi F., Boni F., Braccini G., Briganti E. and Deri L. (2024). Kex-Filtering: A Proactive Approach to Filtering. In Proceedings of the 21st International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-709-2, SciTePress, pages 528-535. DOI: 10.5220/0012788700003767
in Bibtex Style
@conference{secrypt24,
author={Fabrizio Baiardi and Filippo Boni and Giovanni Braccini and Emanuele Briganti and Luca Deri},
title={Kex-Filtering: A Proactive Approach to Filtering},
booktitle={Proceedings of the 21st International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2024},
pages={528-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012788700003767},
isbn={978-989-758-709-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 21st International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - Kex-Filtering: A Proactive Approach to Filtering
SN - 978-989-758-709-2
AU - Baiardi F.
AU - Boni F.
AU - Braccini G.
AU - Briganti E.
AU - Deri L.
PY - 2024
SP - 528
EP - 535
DO - 10.5220/0012788700003767
PB - SciTePress