恶意软件检测技术综述

Y. Supriya, G. Kumar, Dammu Sowjanya, D. Yadav, Devarakonda Lakshmi Kameshwari
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引用次数: 4

摘要

恶意软件源自恶意软件,旨在攻击计算机系统并收集私人数据。这项调查有大量证据表明它对全球损失的影响。恶意软件检测器是防止恶意软件攻击的基本工具。因此,需要研究恶意软件检测技术,以避免和识别攻击系统的恶意软件类型。在这份手稿中,一份调查报告可用于防御恶意软件攻击和分析技术。有许多恶意软件检测技术,例如带有比较和决策思想的签名和异常检测技术。这为最终用户提供了可能的详细信息的用户参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Malware Detection Techniques: A Survey
Malware is derived from malicious software which mitigate to attacks on the computer systems and collecting private data. The survey is available in huge evidences to suggest its impact in global losses. Malware detectors are basic tools to protect from the same malware attacks. Therefore, it is important to require study on malware detection techniques, to avoid and identify the type of malware attacked on systems. In this manuscript, a survey report is available to defend against malware attacks and analysis techniques. There are many malware detection techniques, such as signature and anomaly detection techniques with an idea of comparison and decision making about its strengths. This provides as a user reference to the end user for likely detailed information.
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