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Malware Analysis and Detection in Enterprise Systems

机译:企业系统中的恶意软件分析和检测

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摘要

Malware is today one of the biggest security threat to the Internet. Malware is any malicious software with the intent to perform malevolent activities on a targeted system. Viruses, worms, trojans, backdoors and adware are but a few examples that fall under the umbrella of malware. The purpose of this research is to investigate techniques that are used in order to effectively perform Malware analysis and detection on enterprise systems to reduce the damage of malware attacks on the operation of organizations. Malware analysis experiments were carried out using the two techniques of malware analysis which are Dynamic and Static analysis on two different malware samples. A Portable executable and Microsoft word document files were the two samples that were analyzed in an isolated sandbox lab environment. The results from the experiments disclosed the behavior, encryption techniques, and other techniques employed by the malware samples. The results showed that Dynamic analysis is more effective than Static analysis. The study proposes the use of both techniques for a comprehensive malware analysis and detection.
机译:如今,恶意软件是对Internet的最大安全威胁之一。恶意软件是任何旨在在目标系统上执行恶意活动的恶意软件。病毒,蠕虫,特洛伊木马,后门程序和广告软件只是恶意软件保护下的少数几个例子。这项研究的目的是调查用于有效地在企业系统上执行恶意软件分析和检测以减少恶意软件攻击对组织运营的损害的技术。使用两种恶意软件分析技术进行了恶意软件分析实验,这两种技术是对两种不同恶意软件样本的动态和静态分析。可移植的可执行文件和Microsoft Word文档文件是在隔离的沙箱实验室环境中分析的两个样本。实验结果揭示了恶意软件样本的行为,加密技术和其他技术。结果表明,动态分析比静态分析更有效。该研究建议使用这两种技术进行全面的恶意软件分析和检测。

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