NapierOne: A modern mixed file data set alternative to Govdocs1

Author:

Davies Simon R.ORCID,Macfarlane RichardORCID,Buchanan William J.ORCID

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications,Information Systems,Pathology and Forensic Medicine

Reference60 articles.

1. Are we missing labels? A study of the availability of ground-truth in network security research;Abt,2016

2. Ransomware threat success factors, taxonomy, and countermeasures: a survey and research directions;Al-rimy;Comput. Secur.,2018

3. Ransomware threat success factors, taxonomy, and countermeasures: a survey and research directions;Al-rimy;Comput. Secur.,2018

4. Data Sources for Advancing Cyber Forensics: what the Social World Has to Offer. AAAI Spring Symposium - Technical Report SS;Baggili,2015

5. A survey on detection techniques for cryptographic ransomware;Berrueta;IEEE Access,2019

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ransomware Detection Using Machine Learning: A Review, Research Limitations and Future Directions;IEEE Access;2024

2. Towards Reproducible Ransomware Analysis;2023 Cyber Security Experimentation and Test Workshop;2023-08-07

3. Data for digital forensics: Why a discussion on ‘how realistic is synthetic data’ is dispensable;Digital Threats: Research and Practice;2023-07-20

4. Combining AI and AM – Improving approximate matching through transformer networks;Forensic Science International: Digital Investigation;2023-07

5. Detecting Ransomware Encryption with File Signatures and Machine Learning Models;2023 34th Irish Signals and Systems Conference (ISSC);2023-06-13

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