<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This research exploration presents a comprehensive methodology for conducting penetration testing for networking security protocols and vulnerabilities on the Wi-Fi networks using Kali Linux, an open-source penetration testing platform. The methodology also encompasses four main stages which are Preparation, Information Gathering, Simulated Attack, Reporting. In the Preparation Stage, the scope of the penetration test is defined, authorization is obtained, and within the testing environment the experimentation is prepared. The Information Gathering Stage involves scanning for associated nearby wireless access points (APs), identifying encryption modes, and assessing network coverage. The Simulated Attack Phase verifies the types of vulnerabilities through password cracking, infrastructure penetration tests, and client-side attacks. Finally, the Reporting Phase entails compiling of a very detailed test report with results visualized, findings and recommendations with directions. Experimental results validate the overall effectiveness of the methodology in identifying and mitigating Wi-Fi network vulnerabilities. Through systematic testing and analysis, Kali Linux facilitates proactive security measures to enhance Wi-Fi network defenses.</p>
</abstract>

This research exploration presents a comprehensive methodology for conducting penetration testing for networking security protocols and vulnerabilities on the Wi-Fi networks using Kali Linux, an open-source penetration testing platform. The methodology also encompasses four main stages which are Preparation, Information Gathering, Simulated Attack, Reporting. In the Preparation Stage, the scope of the penetration test is defined, authorization is obtained, and within the testing environment the experimentation is prepared. The Information Gathering Stage involves scanning for associated nearby wireless access points (APs), identifying encryption modes, and assessing network coverage. The Simulated Attack Phase verifies the types of vulnerabilities through password cracking, infrastructure penetration tests, and client-side attacks. Finally, the Reporting Phase entails compiling of a very detailed test report with results visualized, findings and recommendations with directions. Experimental results validate the overall effectiveness of the methodology in identifying and mitigating Wi-Fi network vulnerabilities. Through systematic testing and analysis, Kali Linux facilitates proactive security measures to enhance Wi-Fi network defenses.

Uncovering Cybersecurity Vulnerabilities: A Kali Linux Investigative Exploration Perspective

MPhil Research Postgraduate Student, Master of Philosophy (MPhil) in Machine Learning and Machine Intelligence, Department of Engineering

Bachelor of Science (B.Sc.) in Computer Science & Software Engineering (CSSE), Faculty of Science and Technology, Department of Computer Science

American International University-Bangladesh (AIUB)

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This research exploration presents a comprehensive methodology for conducting penetration testing for networking security protocols and vulnerabilities on the...

Uncovering Cybersecurity Vulnerabilities: A Kali Linux Investigative Exploration Perspective

Published Online: Jul 21, 2024

Page range: 11 - 22

DOI: https://doi.org/10.2478/ijanmc-2024-0012

Keywords
Artificial Intelligence (AI), Cybersecurity, Kali Linux, Linux Distros, Linux OS, Machine Learning, Network Security, Privacy, Security

© 2024 Zarif Bin Akhtar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Uncovering Cybersecurity Vulnerabilities: A Kali Linux Investigative Exploration Perspective

Published Online: Jul 21, 2024

Page range: 11 - 22

DOI: https://doi.org/10.2478/ijanmc-2024-0012

KeywordsArtificial Intelligence (AI), Cybersecurity, Kali Linux, Linux Distros, Linux OS, Machine Learning, Network Security, Privacy, Security

© 2024 Zarif Bin Akhtar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Keywords
Artificial Intelligence (AI), Cybersecurity, Kali Linux, Linux Distros, Linux OS, Machine Learning, Network Security, Privacy, Security