The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
Novel digital forensic readiness technique in the cloud environment
Open accessAbstract
This paper examines the design and implementation of a feasible technique for performing Digital Forensic Readiness (DFR) in cloud computing environments. The approach employs a modified obfuscated Non-Malicious Botnet (NMB) whose functionality operates as a distributed forensic Agent-Based Solution (ABS) in a cloud environment with capabilities of performing forensic logging for DFR purposes. Under basic Service Level Agreements (SLAs), this proactive technique allows any organization to perform DFR in the cloud without interfering with operations and functionalities of the existing cloud architecture or infrastructure and the collected file metadata. Based on the evaluation discussed, the effectiveness of our approach is presented as the easiest way of conducting DFR in the cloud environment as stipulated in the ISO/IEC 27043: 2015 international standard, which is a standard of information technology, security techniques and incident investigation principles and processes. Through this technique, digital forensic analysts are able to maximize the potential use of digital evidence while minimizing the cost of conducting DFR. As a result of this process, the time and cost needed to conduct a Digital Forensic Investigation (DFI) is saved. As a consequence, the technique helps the law enforcement, forensic analysts and Digital Forensic Investigators (DFIs) during post-event response and in a court of law to develop a hypothesis in order to prove or disprove a fact during an investigative process, if there is an occurrence of a security incident. Experimental results of the developed prototype are described which conclude that the technique is effective in improving the planning and preparation of pre-incident detection during digital crime investigations. In spite of that, a comparison with other existing forensic readiness models has been conducted to show the effectiveness of the previously proposed Cloud Forensic Readiness as a Service (CFRaaS) model.
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Cites
The NIST definition of cloud computing
Mell, P., & Grance, T. (2011) · doi:10.6028/nist.sp.800-145 · Cited by 12,628
Terra: a virtual machine-based platform for trusted computing
Garfinkel, T., Pfaff, B., Chow, J., Rosenblum, M., & Boneh, D. (2003) · ACM SIGOPS Operating Systems Review · doi:10.1145/1165389.945464 · Cited by 895
Getting Physical with the Digital Investigation Process
Carrier, B. D., & Spafford, E. H. (2003) · Cited by 422
The Characteristics of Cloud Computing
Gong, C., Liu, J., Zhang, Q., Chen, H., & Gong, Z. (2010) · International Conference on Parallel Processing Workshops (ICPPW) · doi:10.1109/icppw.2010.45 · Cited by 400
A hierarchical, objectives-based framework for the digital investigations process
Beebe, N. L., & Clark, J. G. (2005) · Digital Investigation · doi:10.1016/j.diin.2005.04.002 · Cited by 321
Dykstra, J., & Sherman, A. T. (2012) · Digital Investigation · doi:10.1016/j.diin.2012.05.001 · Cited by 278
A Ten Step Process for Forensic Readiness.
Rowlingson, R. (2004) · International journal of digital evidence · Cited by 270
Impacts of increasing volume of digital forensic data: A survey and future research challenges
Quick, D., & Choo, K. R. (2014) · Digital Investigation · doi:10.1016/j.diin.2014.09.002 · Cited by 270
Bloodstain Pattern Analysis with an Introduction to Crime Scene Reconstruction
Erbisti, P. C. F., & Gardner, R. M. (2008) · CRC Press eBooks · doi:10.1201/9781420052725 · Cited by 254
An integrated conceptual digital forensic framework for cloud computing
Martini, B., & Choo, K. R. (2012) · Digital Investigation · doi:10.1016/j.diin.2012.07.001 · Cited by 250
Research works printed but not linked: 21
- Palmer G . A road map for digital forensic research. Technical Report DTRT0010-01, DFRWS. Report for the First Digital Forensic Research Workshop (DFRWS); 2001.
- Politt MM . Six blind men from Indostan. Digital forensics research workshop (DFRWS); 2004.
- Carrier B, 2003, Int J Digital Evid, 2, 1
- Tan J . Forensic readiness. Cambridge, MA: @ Stake; 2001 Jul 17. p. 1-23.
- Rowlingson R, 2004, Int J Digital Evid, 2, 1
- Casey E . Digital evidence and computer crime. 2nd ed. MA Academic Press: San Diego, CA ; 2000. p. 207–229.
- Kebande VR, 2014, The International Conference on Digital Security and Forensics (DigitalSec2014), 23
- Gummadi R, 2009, NSDI, 9, 307
- 10.1145/1165389 · DOI
- Martini B, 2014, Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on, 935
- Wen Y, 2013, Cloud Computing, 208
- Kebande VR, 2015, Proceedings of the 14th European Conference on Cyber Warfare and Security 2015: ECCWS 2015, 373
- Kebande VR, 2015, Iccsm 2015d-The Proceedings of the 3rd International Conference on Cloud Security and Management
- Kebande VR, 2015, Iccws 2015c-The Proceedings of the 10th International Conference on Cyber Warfare and Security, 434
- Kebande VR, 2016, 11th International Conference on Cyber Warfare and Security: ICCWS2016, 399
- Valjarevic A, 2015, Aust J Forensic Sci, 1
- Baryamureeba V, 2004, Proceedings of the Fourth Digital Forensic Research Workshop, 1
- Cahyani NDW, 2016, Mobile Netw Appl
- Feldman ER, 2001, Criteria for admissibility of expert opinion testimony under Daubert and its progeny
- Shropshire J, 2015, ICCSM2015-3rd International Conference on Cloud Security and Management: ICCSM2015, 86
- Choo KKR, 2010, Trends Issues Crime Crim Just, 400, 1
Cited by
A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., & Markakis, E. K. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2962586 · Cited by 852
Artificial Intelligence Security Threat, Crime, and Forensics: Taxonomy and Open Issues
Jeong, D. (2020) · IEEE Access · doi:10.1109/access.2020.3029280 · Cited by 110
A Review of Mobile Forensic Investigation Process Models
Al-Dhaqm, A., Razak, S. B. A., Ikuesan, R. A., Kebande, V. R., & Siddique, K. (2020) · IEEE Access · doi:10.1109/access.2020.3014615 · Cited by 78
Self-citationCategorization and Organization of Database Forensic Investigation Processes
Al-Dhaqm, A., Razak, S. B. A., Dampier, D. A., Choo, K. R., Siddique, K., Ikuesan, R. A., Alqarni, A., & Kebande, V. R. (2020) · IEEE Access · doi:10.1109/access.2020.3000747 · Cited by 64
Self-citationResearch Challenges and Opportunities in Drone Forensics Models
Al-Dhaqm, A., Ikuesan, R. A., Kebande, V. R., Razak, S. B. A., & Ghabban, F. M. (2021) · Electronics · doi:10.3390/electronics10131519 · Cited by 63
Self-citation
Metadata
- Authors
- Kebande, V. R., & Venter, H. S.
- Affiliations
- University of Pretoria (ZA)
- Corresponding author
- Kebande, Victor R.
- Venue
- Australian Journal of Forensic Sciences
- Publisher
- Informa UK Limited
- Published
- 2017-01-17
- Volume
- 50
- Issue
- 5
- Pages
- 552-591
- ISSN
- 0045-0618 (ISSN-L)
- 1834-562X
- OpenAlex
- W2573841943
- Cited by
- 58
- References
- 50
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 16 · 2020: 14 · 2019: 4 · 2018: 3
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Australian Journal of Forensic Sciences (publishedVersion)
- UpSpace Institutional Repository (University of Pretoria) (submittedVersion)
- Funders
- South African Agency for Science and Technology Advancement (UID85794)
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
- Social Sciences › Law › Education, Law, and Society
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Keywords
- digital forensic readiness, cloud computing, forensic evidence collection, digital forensic investigation, cloud forensics, incident response, cybercrime investigation
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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