Crypto-Mining Application Fingerprinting Method

Dragos Draghicescu, Alexandru Caranica, Alexandru Vulpe, O. Fratu
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引用次数: 2

Abstract

Computing power has increased exponentially in the last decades, and more and more consumer devices are now permanently connected to the internet, to form the so called “Internet of Things” (IoT), Following this trend, security threats and vulnerabilities have increased drastically over a short period of time, as more and more devices are inter-connected and not properly secured. Lately, the growing popularity of Bitcoin and other cryptocurrencies are generating a lot of hype and concern, among security specialists, as unwanted mining applications on an end-user device can potentially pose both security risks and increased operating costs. There are multiple ways of detecting unwanted applications at the user-level, by means of URL blocking and application fingerprinting, and this paper will cover a detection method proposed by our group.
密码挖掘应用指纹识别方法
在过去的几十年里,计算能力呈指数级增长,越来越多的消费设备现在永久连接到互联网,形成所谓的“物联网”(IoT),随着这一趋势,安全威胁和漏洞在短时间内急剧增加,因为越来越多的设备相互连接并且没有适当的保护。最近,比特币和其他加密货币的日益普及引起了安全专家的大量炒作和担忧,因为终端用户设备上不受欢迎的挖矿应用程序可能会带来安全风险,并增加运营成本。在用户级检测不需要的应用程序有多种方法,包括URL拦截和应用程序指纹,本文将介绍我们小组提出的一种检测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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