Preventing Disruption of System Backup against Ransomware Attacks

The ransomware threat to the software ecosystem has grown rapidly in recent years. Despite being well-studied, new ransomware variants continually emerge, designed to evade existing encryption-based detection mechanisms. This paper introduces Remembrall, a new perspective to defend against ransomware by monitoring and preventing system backup disruptions. Focusing on deletion actions of volume shadow copies (VSC) in Windows, Remembrall captures related malicious events and identifies all ransomware traces as a real-time defense tool. To ensure no ransomware is missing, we conduct a comprehensive investigation to classify all potential attack actions that can be used to delete VSCs throughout the application layer, OS layer, and hardware layer. Based on the analysis, Remembrall is designed to retrieve system event information and accurately identify ransomware without false negatives. We evaluate Remembrall on recent ransomware samples. Remembrall achieves 4.31%-87.55% increase in F1-score compared to other state-of-the-art anti-ransomware tools across 60 ransomware families. Remembrall has also detected eight zero-day ransomware samples in the experiment.

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Publication Details

Journal
Proceedings of the ACM on software engineering.
Published
2025-06-22
DOI
https://doi.org/10.1145/3728880
Citations
1
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
1.49
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article

Preventing Disruption of System Backup against Ransomware Attacks

Chijin Zhou, Wenhuan Liu, Yu Jiang, Quan Zhang et al.
1 citations
Proceedings of the ACM on software engineering.
Advanced Malware Detection Techniques
1.49
article

Preventing Disruption of System Backup against Ransomware Attacks

Chijin Zhou, Wenhuan Liu, Yu Jiang, Quan Zhang, C. P. Sun, Yiwei Thomas Hou, Lihua Guo
article en
1 citations

Abstract

The ransomware threat to the software ecosystem has grown rapidly in recent years. Despite being well-studied, new ransomware variants continually emerge, designed to evade existing encryption-based detection mechanisms. This paper introduces Remembrall, a new perspective to defend against ransomware by monitoring and preventing system backup disruptions. Focusing on deletion actions of volume shadow copies (VSC) in Windows, Remembrall captures related malicious events and identifies all ransomware traces as a real-time defense tool. To ensure no ransomware is missing, we conduct a comprehensive investigation to classify all potential attack actions that can be used to delete VSCs throughout the application layer, OS layer, and hardware layer. Based on the analysis, Remembrall is designed to retrieve system event information and accurately identify ransomware without false negatives. We evaluate Remembrall on recent ransomware samples. Remembrall achieves 4.31%-87.55% increase in F1-score compared to other state-of-the-art anti-ransomware tools across 60 ransomware families. Remembrall has also detected eight zero-day ransomware samples in the experiment.

Proceedings of the ACM on software engineering.Vol. 2(ISSTA)
University of Waterloo (CA), Tsinghua University (CN)
Life in Land
Openalex Percentile: Top 18%
Advanced Malware Detection Techniques
1.49
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