BotTROP: Detection of a Botnet-based Threat using Novel Data Mining Algorithm

Hubert Ostap, R. Antkiewicz
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Abstract

Nowadays botnet-based threat, such as ransomwares, trojans and botnets per se, is still very dangerous for our privacy and data. Depending on their management architecture (centralized, decentralized, hybrid), they could be controlled from single or multi point servers called Command&Control (C2), what makes them very difficult to detect and mitigate before malicious action takes place.
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BotTROP:利用新型数据挖掘算法检测基于僵尸网络的威胁
如今,基于僵尸网络的威胁,如勒索软件、木马和僵尸网络本身,仍然对我们的隐私和数据非常危险。根据它们的管理架构(集中式、分散式、混合式),它们可以从称为Command&Control (C2)的单点或多点服务器进行控制,这使得它们很难在恶意行为发生之前被检测和缓解。
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