Review of Current Ransomware Detection Techniques

Davies, Simon; Macfarlane, Richard; Buchanan, William J.

doi:10.1109/iceet53442.2021.9659643

Cited by 5 publications

(14 citation statements)

References 45 publications

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“…The research findings strongly advocate for an evolutionary shift in cybersecurity paradigms towards a more anticipatory defense mechanism [27], [11]. With ransomware attacks becoming increasingly intricate and personalized, there is a heightened need for cybersecurity defenses to progress beyond their traditional reactive stances [16], [36], [39]. This progression involves the integration and leveraging of advanced artificial intelligence and machine learning algorithms, which are capable of not just reacting to threats, but also predicting and pre-emptively mitigating potential risks [17], [10].…”

Section: B Strategic Adjustments In Cyber Defensementioning

confidence: 91%

“…Despite extensive research endeavors in cybersecurity, prevailing methods for understanding and countering ransomware attacks are still not fully effective [5], [16]. Conventional antivirus and security software frequently fail to detect and thwart advanced ransomware attacks, which are constantly evolving to circumvent existing security protocols [17], [18].…”

Section: Introductionmentioning

confidence: 99%

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Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats

Fujima,

Kumamoto,

Yoshida

2023

Preprint

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This study looked into the complex landscape of ransomware communications, utilizing advanced language models like ChatGPT to analyze ransomware messages. The research focused on identifying and interpreting the linguistic and strategic elements embedded in these communications. Key findings revealed a significant evolution in ransomware tactics, marked by sophisticated linguistic patterns and psychological manipulation strategies. The study emphasized the need for integrating advanced linguistic analysis tools within cybersecurity frameworks and advocates for customized cybersecurity education programs. Future research directions were proposed, including expanding the dataset and integrating diverse analytical methodologies. This research contributed to a deeper understanding of ransomware threats and offered insights into developing more effective cybersecurity measures against them.

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Section: B Strategic Adjustments In Cyber Defensementioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats

Fujima,

Kumamoto,

Yoshida

2023

Preprint

View full text Add to dashboard Cite

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“…In contrast, modern variants employ advanced cryptographic techniques to encrypt data, making unauthorized decryption nearly impossible without a key [20]. The transition to crypto-ransomware marks a significant shift in the threat landscape [3]. This subsection delves into the technical evolution of ransomware, examining how changes in coding, distribution, and payload delivery have made recent strains more resilient and damaging [3].…”

Section: A Evolution and Mechanisms Of Ransomwarementioning

confidence: 99%

“…The transition to crypto-ransomware marks a significant shift in the threat landscape [3]. This subsection delves into the technical evolution of ransomware, examining how changes in coding, distribution, and payload delivery have made recent strains more resilient and damaging [3]. The mechanisms through which ransomware infiltrates systems have diversified over time [35].…”

Section: A Evolution and Mechanisms Of Ransomwarementioning

confidence: 99%

“…This obstruction typically occurs through the encryption of files, rendering them inaccessible to the user [5], [6]. The most alarming aspect of ransomware attacks lies in their efficacy; once the ransomware has encrypted the files, restoring them without the unique decryption key becomes an arduous task, often deemed impractical, and this scenario frequently results in the loss of critical data and incurs substantial financial repercussions [7], [3]. Statistics indicate that approximately 79.2% of targeted entities experience significant operational disruptions due to such attacks [8], [9].…”

Section: Introductionmentioning

confidence: 99%

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RansomCillin: Leveraging NTFS Spare Space to Recover from Ransomware Attacks

Takeuchi,

Fujima,

Kumamoto

et al. 2023

Preprint

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This study investigates an innovative method to combat ransomware, leveraging the New Technology File System (NTFS) spare space in Windows operating systems. The focus is on RansomCillin, a tool designed for effective data recovery after ransomware attacks. The methodology entailed a simulated environment using prevalent ransomware strains to assess RansomCillin's file recovery success, time efficiency, data integrity, and system performance impact. Results showed RansomCillin's high effectiveness in restoring encrypted files with minimal system disruption. Despite its promising performance, the study is limited to NTFS file systems and specific ransomware families, indicating the need for broader application in future research. This work suggests a paradigm shift in ransomware mitigation strategies, emphasizing proactive recovery and continuous adaptation to evolving cyber threats. RansomCillin's development and testing highlight its potential as a practical solution in the ongoing battle against ransomware.

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A Survey on Ransomware Threats: Contrasting Static and Dynamic Analysis Methods

Kang,

2023

Preprint

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The proliferation of ransomware poses a significant threat to global cybersecurity. This study presents a comprehensive review of the methodologies employed in the detection and analysis of ransomware, emphasizing the dichotomy between static and dynamic analysis approaches. It introduces the historical context and the necessity for robust cybersecurity measures, followed by an outline of the methodological framework used to evaluate existing ransomware analysis techniques. The results detail the effectiveness and limitations of various analysis strategies, identifying key features and patterns that aid in the detection and classification of ransomware threats. The study concludes by summarizing the primary achievements, including the identification of gaps in current research and proposing future research directions aimed at enhancing ransomware detection and mitigation strategies. The synthesis provided in this survey offers a consolidated view of the state-of-the-art in ransomware threat analysis and serves as a resource for cybersecurity professionals and researchers.

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Review of Current Ransomware Detection Techniques

Cited by 5 publications

References 45 publications

Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats

Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats

RansomCillin: Leveraging NTFS Spare Space to Recover from Ransomware Attacks

A Survey on Ransomware Threats: Contrasting Static and Dynamic Analysis Methods

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