WannaLaugh: A Configurable Ransomware Emulator - Learning to Mimic Malicious Storage Traces

Ransomware, a fearsome and an evolving cybersecurity threat, continues to inflict severe consequences on individuals and organizations worldwide. Traditional detection methods, reliant on static signatures and application behavioral patterns, are challenged by the dynamic nature of these threats. This paper introduces two primary contributions to address this challenge. First, we introduce the WannaLaugh ransomware emulator. This tool is designed to safely mimic ransomware attacks without causing actual harm or spreading malware, making it a unique solution for studying ransomware behavior. Second, we show how this emulator can be used to mimic the I/O behavior of existing ransomware. Experimental results show that WannaLaugh can mimic six real ransomware with high accuracy. Both the emulator and its mimicking application aim to represent significant steps forward in ransomware detection in the era of machine-learning-driven cybersecurity.

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Published
2024-09-16
DOI
https://doi.org/10.1145/3688351.3689163
Citations
5
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
1.75
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article

WannaLaugh: A Configurable Ransomware Emulator - Learning to Mimic Malicious Storage Traces

Slaviša Sarafijanović, Haralampos Pozidis, Roman Pletka, Dionysios Diamantopoulos et al.
5 citations
Advanced Malware Detection Techniques
1.75
article

WannaLaugh: A Configurable Ransomware Emulator - Learning to Mimic Malicious Storage Traces

Slaviša Sarafijanović, Haralampos Pozidis, Roman Pletka, Dionysios Diamantopoulos, Narasimha Reddy
article en
5 citations

Abstract

Ransomware, a fearsome and an evolving cybersecurity threat, continues to inflict severe consequences on individuals and organizations worldwide. Traditional detection methods, reliant on static signatures and application behavioral patterns, are challenged by the dynamic nature of these threats. This paper introduces two primary contributions to address this challenge. First, we introduce the WannaLaugh ransomware emulator. This tool is designed to safely mimic ransomware attacks without causing actual harm or spreading malware, making it a unique solution for studying ransomware behavior. Second, we show how this emulator can be used to mimic the I/O behavior of existing ransomware. Experimental results show that WannaLaugh can mimic six real ransomware with high accuracy. Both the emulator and its mimicking application aim to represent significant steps forward in ransomware detection in the era of machine-learning-driven cybersecurity.

IBM Research - Zurich (CH), Texas A&M University (US)
Decent work and economic growth
Openalex Percentile: Top 14%
Advanced Malware Detection Techniques
1.75
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