内部异常检测系统的发展趋势

Minkyu Kim, Kihwan Kim, Hoonjae Lee
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引用次数: 5

摘要

近期,行业和国家基础设施因内部泄露和关键数据泄露而遭受经济损失。因此,许多公司不仅采用物理的外部和内部渗透方法,还采用软件、机器学习等方法来检测人们的异常行为。本文将入侵检测技术分为基础软件技术和机器学习技术,概述了入侵检测技术的发展趋势和预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development trend of insider anomaly detection system
Recently, industrial and national infrastructure suffered economic losses due to internal leaks caused by insider leaks and key data leaks. As a result, many companies applying not only physical external and internal penetration methods, but also software, machine learning, and other methods to detect people's abnormal behaviour. This paper surveys trends and forecasts of the intrusion detection techniques by categorizing into basic software and machine learning technique.
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