Design and Implementation of a Penetration Testing Framework for Simulated Networks

This paper describes the design and implementation of a tailored penetration testing framework for simulated network environments. This framework integrates Python exploits with automation of Metasploit to provide an organized process for scanning vulnerabilities, exploitation, and reporting. It also exploits SSH vulnerabilities and uses a modular approach ideal for academic research, professional training, and security assessments [1], [2]. The framework’s architecture is customizable at different levels which encourages its use with different types of networks. It was exposed to testing within controlled environments which showed that it was able to find vulnerabilities without generating a lot of false positives which serves as a better alternative to testing on live systems [5].

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/conit65521.2025.11167130
Primary Topic
Network Security and Intrusion Detection
Type
article
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article

Design and Implementation of a Penetration Testing Framework for Simulated Networks

S. Edwin Raja, Gudupu Hema Durga Kiran, Jakka Rishikumar, Nadakudur Ravindra
Network Security and Intrusion Detection
article

Design and Implementation of a Penetration Testing Framework for Simulated Networks

S. Edwin Raja, Gudupu Hema Durga Kiran, Jakka Rishikumar, Nadakudur Ravindra
article en

Abstract

This paper describes the design and implementation of a tailored penetration testing framework for simulated network environments. This framework integrates Python exploits with automation of Metasploit to provide an organized process for scanning vulnerabilities, exploitation, and reporting. It also exploits SSH vulnerabilities and uses a modular approach ideal for academic research, professional training, and security assessments [1], [2]. The framework’s architecture is customizable at different levels which encourages its use with different types of networks. It was exposed to testing within controlled environments which showed that it was able to find vulnerabilities without generating a lot of false positives which serves as a better alternative to testing on live systems [5].

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Openalex Percentile: Top 70%
Network Security and Intrusion Detection
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