Real-Time Detection and Recovery Method Against Ransomware Based on Simple Format Analysis

Ransomware encrypts targeted files, making recovery difficult using conventional disinfection or deletion methods, unlike other types of malware. In particular, ransomware commonly encrypts important documents as a follow-up action, and existing antivirus programs are fundamentally incapable of preventing them. In this study, we analyzed 97 real-world ransomware behaviors and found that 95.88% of them involved encryption attempts. Consequently, we propose a real-time method for determining whether critical files have been compromised through encryption and for recovering them accordingly. The proposed Simple Format Analysis (SFA) detection technique consists of three methods: Simple Format Analysis–Fixed-structure-based (SFA-F), which analyzes the file format; Simple Format Analysis–Header-based (SFA-H), which focuses on file header information; and Simple Format Analysis—Fixed-structure-and-Header-based (SFA-F-H), a hybrid method that combines both. These techniques achieved detection accuracies ranging from 95.0% (SFA-F) to 97.9% (SFA-F-H), outperforming existing detection approaches. In addition, we introduce a novel real-time recovery approach known as real-time file restoration from damage, which integrates SFA detection with pre-input/output monitoring. We expect the proposed approach to significantly contribute to ransomware mitigation in cybersecurity environments.

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Information
Published
2025-08-27
DOI
https://doi.org/10.3390/info16090739
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1
Primary Topic
Advanced Malware Detection Techniques
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article
Field-Weighted Citation Impact
1.49
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article

Real-Time Detection and Recovery Method Against Ransomware Based on Simple Format Analysis

Jae-yeol Kim
1 citations
Information
Advanced Malware Detection Techniques
1.49
article

Real-Time Detection and Recovery Method Against Ransomware Based on Simple Format Analysis

Jae-yeol Kim
article en
1 citations

Abstract

Ransomware encrypts targeted files, making recovery difficult using conventional disinfection or deletion methods, unlike other types of malware. In particular, ransomware commonly encrypts important documents as a follow-up action, and existing antivirus programs are fundamentally incapable of preventing them. In this study, we analyzed 97 real-world ransomware behaviors and found that 95.88% of them involved encryption attempts. Consequently, we propose a real-time method for determining whether critical files have been compromised through encryption and for recovering them accordingly. The proposed Simple Format Analysis (SFA) detection technique consists of three methods: Simple Format Analysis–Fixed-structure-based (SFA-F), which analyzes the file format; Simple Format Analysis–Header-based (SFA-H), which focuses on file header information; and Simple Format Analysis—Fixed-structure-and-Header-based (SFA-F-H), a hybrid method that combines both. These techniques achieved detection accuracies ranging from 95.0% (SFA-F) to 97.9% (SFA-F-H), outperforming existing detection approaches. In addition, we introduce a novel real-time recovery approach known as real-time file restoration from damage, which integrates SFA detection with pre-input/output monitoring. We expect the proposed approach to significantly contribute to ransomware mitigation in cybersecurity environments.

InformationVol. 16(9)
Kyungwoon University (KR)
Openalex Percentile: Top 15%
Advanced Malware Detection Techniques
1.49
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