Concepedia

FeSA: Feature selection architecture for ransomware detection under concept drift

Damien Warren Fernando, Nikos Komninos

Computers & Security · 2022 · 32 citations · 23 references

Concepts

ComputingComputer ScienceCybersecurityComputer SecurityFeature EngineeringMachine LearningFeature SelectionMalware ClassificationMalware ForensicsRansomwareSoftware Vulnerability DiscoveryConcept DriftConcept Drift In Intrusion DetectionConcept Drift ModelingFeature Extraction For Malware AnalysisFeature Extraction For Malware ClassificationRansomware ClassificationRansomware Detection

References

23

Design and Evaluation of a Real-Time URL Spam Filtering Service

Kurt Thomas, Chris Grier, Justin Ma et al. · 2011 · 471 citations

Computing, Computer Science, Cybersecurity +13

A Multi-Classifier Network-Based Crypto Ransomware Detection System: A Case Study of Locky Ransomware

Ahmad O. Almashhadani, Mustafa Kaiiali, Sakir Sezer et al. · IEEE Access · 2019 · 179 citations · Full text

Computing, Computer Science, Cybersecurity +16

Transcend: Detecting Concept Drift in Malware Classification Models

Roberto Jordaney, Kumar Sharad, Santanu Kumar Dash et al. · Research Portal (King's College London) · 2017 · 146 citations · Full text

Computing, Computer Science, Cybersecurity +14

Ransomware detection using machine learning algorithms

Seong Il Bae, Gyu Bin Lee, Eul Gyu Im · Concurrency and Computation Practice and Experience · 2019 · 145 citations

Computing, Computer Science, Cybersecurity +11

Two-Stage Ransomware Detection Using Dynamic Analysis and Machine Learning Techniques

Jinsoo Hwang, Jeankyung Kim, Seung‐Hwan Lee et al. · Wireless Personal Communications · 2020 · 144 citations

Computing, Computer Science, Cybersecurity +12