利用可操作情报方法进行网络犯罪内部调查的DPI

Da-Yu Kao
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引用次数: 1

摘要

网络犯罪威胁通常来自受信任的、恶意的或疏忽的内部人员,他们对组织的网络、系统或数据拥有过多的访问权限。内部威胁的复杂性导致了网络犯罪问题。即使发现了事件,也需要后续对策来分析结果。网络犯罪内部调查分析为提高数字证据的质量和价值提供了许多可操作情报的机会。将深度包检测(DPI)方法应用于网络犯罪内幕调查有几个优点。本研究讨论了可操作情报对开展调查的重要性,并讨论了使用DPI进行网络犯罪内部调查以检测网络数据包中的异常情况的对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the Actionable Intelligence Approach for the DPI of Cybercrime Insider Investigation
Cybercrime threats are often originating from trusted, malicious, or negligent insiders, who have excessive access privileges to an organization's network, system, or data. The sophistication of insider threats has led to cybercrime issues. Even when an incident is detected, the follow-up countermeasures are required to analyze the results. The analysis of cybercrime insider investigation presents many opportunities for actionable intelligence on improving the quality and value of digital evidence. There are several advantages of applying Deep Packet Inspection (DPI) methods in cybercrime insider investigation. This study discusses the importance of actionable intelligence to conduct investigations and addresses the countermeasure of a cybercrime insider investigation with DPI to detect anomalies in network packets.
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