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You searched for subject:(mobile network foreniscs). Showing records 1 – 2 of 2 total matches.

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Purdue University

1. Sharevski, Filipo. The Impact of Mobile Network Forensics Evidence on the Criminal Case Processing Performance in Macedonia: An Institutional Analysis Study.

Degree: PhD, Technology, 2015, Purdue University

The purpose of this study was to explore the contribution of the localization data, network-management data, and content-of-communication data in the case processing performance in Macedonia. The mobile network forensics evidence was analyzed respective to the impact of the mobile network data variety, the mobile network data volume, and the forensic processing on the case disposition time. The results from this study indicate that the case disposition time is negatively correlated with the network-management data volume and positively correlated with the content-of-communication data volume. The relevance of the network-management data was recognized in the highly granular service behavior profile developed using larger number of records, while the relevance of the content-of-communication data was recognized in the substantial number of excerpts of intercepted communication. The results also reveal a difference in the case processing time for the cases where there is only localization or network-management data versus when they are combined with the content-of-communication data. Advisors/Committee Members: Melissa J Dark, Rogers K Mark, Taylor M Julia, Baijian Yang.

Subjects/Keywords: criminal case processing; digital forensics; institutional analysis; mobile network foreniscs

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharevski, F. (2015). The Impact of Mobile Network Forensics Evidence on the Criminal Case Processing Performance in Macedonia: An Institutional Analysis Study. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1146

Chicago Manual of Style (16th Edition):

Sharevski, Filipo. “The Impact of Mobile Network Forensics Evidence on the Criminal Case Processing Performance in Macedonia: An Institutional Analysis Study.” 2015. Doctoral Dissertation, Purdue University. Accessed December 07, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1146.

MLA Handbook (7th Edition):

Sharevski, Filipo. “The Impact of Mobile Network Forensics Evidence on the Criminal Case Processing Performance in Macedonia: An Institutional Analysis Study.” 2015. Web. 07 Dec 2019.

Vancouver:

Sharevski F. The Impact of Mobile Network Forensics Evidence on the Criminal Case Processing Performance in Macedonia: An Institutional Analysis Study. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Dec 07]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1146.

Council of Science Editors:

Sharevski F. The Impact of Mobile Network Forensics Evidence on the Criminal Case Processing Performance in Macedonia: An Institutional Analysis Study. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1146


AUT University

2. Lutui, Paula Raymond. Digital forensic process model for mobile business devices: smart technologies .

Degree: AUT University

Worldwide usage of mobile SMART devices has been dramatically increased over the past decade. The popularity of these devices has also grown as a result of the increase in terms of their processing power, large storage capacity and large memory. Mobile SMART devices such as SMART phones, tablet, phaplets and Personal Digital Assistants (PDAs) are now very common and very much part of most businesses’ network. As a result, these devices hold enormous amounts of both personal and private business data. Consequently, they have become the target for criminals. They have been found to be involved in criminal activities particularly cybercrimes. These devices are often seized as part of a criminal investigation, and this has led to the need to acquire the data contained in these devices. The SMART device data has become potential evidence in criminal cases. The vital information held by these mobile SMART devices trigger the need for mobile SMART device forensic capability. The primary aim of digital forensic is to identify the digital information and capture all potential evidence in the device, including call logs, phone book data, text messages, and so on. This process is very important therefore, potential evidence must not be altered in the process so it can be admissible in a court of law. This requires following standardised investigation procedures. However, there is currently no standardised digital forensic investigation process model for SMART devices. Yet, there are a number of digital investigation process models available. However, they were either developed for a specific sub-field such as computer forensics, mobile forensics, and network forensics or, a generic digital forensic investigation model. This study is aimed to fill the gap identified in the literature; there is no investigation process model that can be used on an investigation that involves multi-disciplinary requirements. The question raised here is “What can be done to improve the effectiveness and efficiency of digital forensic investigation for SMART devices?” this question will be answered in chapter seven. This study involves developing of a new digital forensic investigation process model and a framework. To answer the research question and make sure that the new artefact is evaluated and refined to a high standard, the Design Science (DS) research method is employed to guide the study. DS method defines the processes from identifying and defining of the problem to communicating the findings through scholarly and professional publications. The DS method influences the design of the study and the evaluation methodology employed to evaluate the artefact which is done in the fifth phase of the DS research method. As a result, this study found that the problem and the gap identified in the literature are real because digital forensics has a complex nature and it needs multi-disciplinary capabilities and abilities. The implication is that for a SMART device – that brings convergence of many segregated areas - investigation knowledge… Advisors/Committee Members: Cusack, Brian (advisor), Petrova, Krassie (advisor).

Subjects/Keywords: Digital forensic; Network forensics; Forensic investigation; Cloud foreniscs; Investigation process models; Investigation framework; Mobile forensics; Investigation guidelines

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lutui, P. R. (n.d.). Digital forensic process model for mobile business devices: smart technologies . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/9242

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lutui, Paula Raymond. “Digital forensic process model for mobile business devices: smart technologies .” Thesis, AUT University. Accessed December 07, 2019. http://hdl.handle.net/10292/9242.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lutui, Paula Raymond. “Digital forensic process model for mobile business devices: smart technologies .” Web. 07 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Lutui PR. Digital forensic process model for mobile business devices: smart technologies . [Internet] [Thesis]. AUT University; [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10292/9242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Lutui PR. Digital forensic process model for mobile business devices: smart technologies . [Thesis]. AUT University; Available from: http://hdl.handle.net/10292/9242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

.