A Detection and Investigation Model for the Capture and Analysis of Network Crimes

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY
Iman S. Alansari
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引用次数: 0

Abstract

Investigation in the field of network forensics involves examining network traffic to identify, capture, preserve, reconstruct, analyze, and document network crimes. Although there are different perspectives on the practical and technical aspects of network forensics, there is still a lack of fundamental guidelines. This paper proposes a new detection and investigation model for capturing and analyzing network crimes, using design science research. The proposed model involves six processes: identification, verification, gathering, preservation, examination, analysis, and documentation. Each process is associated with several activities that provide the investigation team with a clear picture of exactly what needs to be performed. In addition, the proposed model has a unique activity, namely reporting. As a result, this model represents a comprehensive approach to network forensics investigations. It is designed to work in conjunction with established forensic techniques to ensure that forensic evidence from the network is collected and analyzed efficiently and effectively following accepted forensic procedures. The proposed model was compared with existing models in terms of completeness, showing that it is complete and can be adapted to any type of network and legal framework.
网络犯罪抓捕与分析的侦查模型
网络取证领域的调查包括检查网络流量,以识别、捕获、保存、重建、分析和记录网络犯罪。尽管在网络取证的实践和技术方面有不同的观点,但仍然缺乏基本的指导方针。本文运用设计科学的研究方法,提出了一种新的网络犯罪侦查模型。提出的模型包括六个过程:识别、验证、收集、保存、检查、分析和文档。每个过程都与几个活动相关联,这些活动为调查小组提供了需要执行的确切内容的清晰图像。此外,建议的模型有一个独特的活动,即报告。因此,该模型代表了网络取证调查的综合方法。它旨在与现有的法医技术相结合,以确保根据公认的法医程序高效地收集和分析来自该网络的法医证据。将所提出的模型与现有模型在完整性方面进行了比较,表明它是完整的,可以适应任何类型的网络和法律框架。
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来源期刊
Engineering, Technology & Applied Science Research
Engineering, Technology & Applied Science Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
3.00
自引率
46.70%
发文量
222
审稿时长
11 weeks
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