Version 1
: Received: 22 July 2024 / Approved: 23 July 2024 / Online: 23 July 2024 (16:02:46 CEST)
How to cite:
Mpungu, C.; George, C.; Mapp, G. Digital Forensics Readiness in Big Data Wireless Networks: A Novel Framework and Incident Response Script for Linux-Hadoop Environments. Preprints2024, 2024071803. https://doi.org/10.20944/preprints202407.1803.v1
Mpungu, C.; George, C.; Mapp, G. Digital Forensics Readiness in Big Data Wireless Networks: A Novel Framework and Incident Response Script for Linux-Hadoop Environments. Preprints 2024, 2024071803. https://doi.org/10.20944/preprints202407.1803.v1
Mpungu, C.; George, C.; Mapp, G. Digital Forensics Readiness in Big Data Wireless Networks: A Novel Framework and Incident Response Script for Linux-Hadoop Environments. Preprints2024, 2024071803. https://doi.org/10.20944/preprints202407.1803.v1
APA Style
Mpungu, C., George, C., & Mapp, G. (2024). Digital Forensics Readiness in Big Data Wireless Networks: A Novel Framework and Incident Response Script for Linux-Hadoop Environments. Preprints. https://doi.org/10.20944/preprints202407.1803.v1
Chicago/Turabian Style
Mpungu, C., Carlisle George and Glenford Mapp. 2024 "Digital Forensics Readiness in Big Data Wireless Networks: A Novel Framework and Incident Response Script for Linux-Hadoop Environments" Preprints. https://doi.org/10.20944/preprints202407.1803.v1
Abstract
The surge in big data and analytics has catalysed the proliferation of cybercrime, largely driven by organisations' intensified focus on gathering and processing personal data for profit, often overlooking security considerations. Hadoop and its derivatives are prominent platforms for managing big data, however, investigating security incidents within Hadoop environments poses intricate challenges due to scale, distribution, data diversity, replication, component complexity, and dynamicity. This paper proposes a digital forensics readiness framework and an incident response script for Linux-Hadoop systems, streamlining preliminary investigations. The framework offers a novel approach to digital forensics in the domains of big data and Hadoop environments. A prototype implementing important aspects of the DFR framework was developed and evaluated through comprehensive functionality and usability testing. The results demonstrated robust performance and efficacy.
Keywords
Wireless networks; digital forensics; digital forensics readiness; incident response; big data; Hadoop
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
