UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 9 | September 2026

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Published in:

Volume 13 Issue 9
September-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2609179


Registration ID:
586126

Page Number

b719-b725

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Title

SSH-HONEYGUARD: An Explainable And Container-Isolated SSH Honeypot For Attack Behavior Analysis

Authors

Abstract

SSH services are frequently targeted by automated and manual attacks, making them useful sources of information for studying attacker behavior. Conventiona SSH honeypots can capture authentication attempts and commands, but the collected information often requires manual analysis to understand the progression and severity of an attack. Existing research has also explored container-based deception, adaptive honeypots, attacker profiling, and automated analysis, but practical systems still face limitations related to deployment complexity, analysis speed, or integration of multiple security functions. This paper presents SSH-HoneyGuard, a container-isolated SSH honeypot designed to capture and analyze attacker interactions using an explainable rule-based detection approach. The system uses a Paramiko-based SSH service, a controlled fake shell, structured session and authentication logging, command categorization, and detection of suspicious and multi-stage activities. Docker isolation is used to separate the honeypot environment from the host system. SQLite provides persistent storage for sessions, authentication attempts, commands, and security alerts. The implemented system was evaluated through a series of controlled experiments covering command classification, multi-stage attack detection, authentication logging, container isolation, and persistence of collected data. The final dataset contained 52 sessions, 50 authentication attempts, 409 recorded commands, and 147 generated alerts. Of the recorded commands, 328 were classified into defined behavioral categories, corresponding to approximately 80.20% classification coverage. The system also generated 11 multi-stage activity alerts, demonstrating its ability to correlate suspicious activities across attack stages.

Key Words

SSH honeypot, cyber deception, Docker isolation, attack detection, behavioral analysis, command classification, multi-stage attack, cybersecurity.

Cite This Article

"SSH-HONEYGUARD: An Explainable And Container-Isolated SSH Honeypot For Attack Behavior Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 9, page no.b719-b725, September-2026, Available :http://www.jetir.org/papers/JETIR2609179.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SSH-HONEYGUARD: An Explainable And Container-Isolated SSH Honeypot For Attack Behavior Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 9, page no. ppb719-b725, September-2026, Available at : http://www.jetir.org/papers/JETIR2609179.pdf

Publication Details

Published Paper ID: JETIR2609179
Registration ID: 586126
Published In: Volume 13 | Issue 9 | Year September-2026
DOI (Digital Object Identifier):
Page No: b719-b725
Country: Mumbai, Maharastra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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