了解和减轻银行木马:从Zeus到Emotet

Konstantinos-Panagiotis Grammatikakis, Ioannis Koufos, N. Kolokotronis, C. Vassilakis, S. Shiaeles
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引用次数: 14

摘要

银行木马在过去的十年里发展了很长一段路,最近的Emotet案例显示了它们持久的相关性。现代计算领域的演变可以追溯到Emotet和Zeus,它们都是过去十年末的代表性例子。作为早期恶意软件的一个例子,Zeus只需要使用简单的反分析技术就可以不被发现;而最近的Emotet必须不断进化才能保持领先一步。当前基于主机的反恶意软件解决方案在执行其功能时面临越来越多的障碍。基于网络的入侵响应系统要保护异构设备的现代网络,必须采用多层网络安全方法。基于图形网络安全模型和网络攻击博弈论模型相结合的系统在感染木马的Windows计算机上进行了测试;实验结果表明,该系统有效阻断了木马的网络通信,有效防止了数据的泄露,为今后的工作取得了令人鼓舞的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding and Mitigating Banking Trojans: From Zeus to Emotet
Banking Trojans came a long way in the past decade, and the recent case of Emotet showed their enduring relevance. The evolution of the modern computing landscape can be traced through Emotet and Zeus, both representative examples from the end of the past decade. As an example of earlier malware, Zeus only needed to employ simple anti-analysis techniques to stay undetected; while the more recent Emotet had to constantly evolve to stay a step ahead. Current host-based antimalware solutions face an increasing number of obstacles to perform their function. A multi-layer approach to network security is necessary for network-based intrusion response systems to secure modern networks of heterogeneous devices. A system based on a combination of a graphical network security model and a game theoretic model of cyber attacks was tested on a testbed with Windows machines infected with Trojans; experimental results showed that the proposed system effectively blocked Trojans’ network communications effectively preventing data leakage and yielding encouraging results for future work.
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