A Multi-Perspective malware detection approach through behavioral fusion of API call sequence

2021/08/20 by Eslam Amer, Ivan Zelinka, Shaker El–Sappagh +1 · 2 citations
Computer Science · #Advanced Malware Detection Techniques #Android malware #Artificial intelligence #Computer science #Computer security #Data mining #Machine learning #Malware #Network Security and Intrusion Detection #Programming language #Spam and Phishing Detection #System call

paper · doi:10.1016/j.cose.2021.102449

openalex publication_date 2021/08/20 · crossref created 2021/08/20 · crossref issued 2021/11/01 · crossref published 2021/11/01 · crossref published-print 2021/11/01 · crossref deposited 2025/09/28 · openalex created_date 2025/10/10 · crossref indexed 2026/08/05 · openalex updated_date 2026/08/06

Citations

• Security Evaluation of Pattern Classifiers under Attack
• A Survey on Malware Detection Using Data Mining Techniques
• NtMalDetect: A Machine Learning Approach to Malware Detection Using Native API System Calls
• Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Cited by

• APIARY: An API-based automatic rule generator for yara to enhance malware detection
• On the Consistency of GNN Explanations for Malware Detection