An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy

Authors: Daniel Fraunholz, Marc Zimmermann, Hans D. Schotten
Published: 2021-11-06

Source: https://arxiv.org/abs/2111.03884

PDF: https://arxiv.org/pdf/2111.03884

Labels Predicted by AI

ICSハニーポット開発 アルゴリズム 適応型敵対的訓練

Please note that these labels were automatically added by AI. Therefore, they may not be entirely accurate.
For more details, please see the About the Literature Database page.

Abstract

Since honeypots first appeared as an advanced network security concept they suffer from poor deployment and maintenance strategies. State-of-the-Art deployment is a manual process in which the honeypot needs to be configured and maintained by a network administrator. In this paper we present a method for a dynamic honeypot configuration, deployment and maintenance strategy based on machine learning techniques. Our method features an identification mechanism for machines and devices in a network. These entities are analysed and clustered. Based on the clusters, honeypots are intelligently deployed in the network. The proposed method needs no configuration and maintenance and is therefore a major advantage for the honeypot technology in modern network security.