Understanding & Mitigating the Challenges of Securing Jupyter Notebooks Online

Jupyter Notebook applications have become increasingly popular online. However, the threats against this application are also on the rise. Each year, the attacks and exploitation techniques are becoming more sophisticated. Through the first ever Jupyter Notebook keyword combination study relating to security, we provide evidence of the challenges in properly securing Jupyter Notebook applications online. To overcome these challenges, we propose an automated security solution called jupmate. The tool utilises a defence-in-depth strategy referred to as the Jupyter Multi-Layer Security (JMLS) Model. It is still currently in development. However, we have a proof of concept that showcases the automation that is possible to overcome the security challenges posed to Jupyter Notebook applications online.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679378
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding & Mitigating the Challenges of Securing Jupyter Notebooks Online

Adrian Ramsingh, Pradeep Kumar Verma
Advanced Malware Detection Techniques
article

Understanding & Mitigating the Challenges of Securing Jupyter Notebooks Online

Adrian Ramsingh, Pradeep Kumar Verma
article en

Abstract

Jupyter Notebook applications have become increasingly popular online. However, the threats against this application are also on the rise. Each year, the attacks and exploitation techniques are becoming more sophisticated. Through the first ever Jupyter Notebook keyword combination study relating to security, we provide evidence of the challenges in properly securing Jupyter Notebook applications online. To overcome these challenges, we propose an automated security solution called jupmate. The tool utilises a defence-in-depth strategy referred to as the Jupyter Multi-Layer Security (JMLS) Model. It is still currently in development. However, we have a proof of concept that showcases the automation that is possible to overcome the security challenges posed to Jupyter Notebook applications online.

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Advanced Malware Detection Techniques
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