CRSep 26, 2018

Crippling Crypto-Ransomware

arXiv:1809.10119v1
Originality Incremental advance
AI Analysis

This addresses a major weakness in crypto-ransomware for cybersecurity, offering a proactive defense method, though it appears incremental as it builds on existing subsystem models.

The research tackled the problem of crypto-ransomware by modeling it as four subsystems and identified that disrupting the obfuscated command channel can proactively and safely defeat a wide variety of such malware, shifting focus from reactive measures on other components.

This research seeks to expose a major weakness in Crypto-ransomware by modeling it as four integral sub-systems consisting of: An Agent, a Command and Control Service (CNC), an anonymous payment channel (APC) and an obfuscated command channel (OCC). We will show that most modern counter-measures focus on either the Agent or the CNC subsystems and usually in a reactive way exposing the target to undue risk. However, by disrupting this fourth component - the Obfuscated Command Channel - we can proactively and safely defeat a wide variety of crypto-ransomware.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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