Research on IIoT Honeypot Technology Based on Improved Conpot

With the rapid development of Industrial Internet of Things (IIoT) technology, its security issues are becoming increasingly prominent. Honeypots, as a trapping technique, play a crucial role in detecting and analyzing network attacks in the industrial IoT. In response to the default configuration of Conpot industrial control honeypots that leads to easily detectable fingerprint information, this paper modifies the default characteristic information of Conpot honeypots and introduces format encryption technology to generate serial numbers and identification codes, significantly enhancing the security and stealth of the honeypots. By building a honeynet to verify the effectiveness of the improved method; experiments have confirmed the effectiveness of the scheme in detecting attack behaviors and enhancing system security.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1145/3722237.3722396
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on IIoT Honeypot Technology Based on Improved Conpot

Rong Ma, Rikun Huang
Chaos-based Image/Signal Encryption
article

Research on IIoT Honeypot Technology Based on Improved Conpot

Rong Ma, Rikun Huang
article en

Abstract

With the rapid development of Industrial Internet of Things (IIoT) technology, its security issues are becoming increasingly prominent. Honeypots, as a trapping technique, play a crucial role in detecting and analyzing network attacks in the industrial IoT. In response to the default configuration of Conpot industrial control honeypots that leads to easily detectable fingerprint information, this paper modifies the default characteristic information of Conpot honeypots and introduces format encryption technology to generate serial numbers and identification codes, significantly enhancing the security and stealth of the honeypots. By building a honeynet to verify the effectiveness of the improved method; experiments have confirmed the effectiveness of the scheme in detecting attack behaviors and enhancing system security.

Southwest Forestry University (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Chaos-based Image/Signal Encryption
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