Anomaly Network Based Malware Detection System Using Hybrid Techniques
نویسندگان
چکیده
منابع مشابه
Unsupervised Anomaly-Based Malware Detection Using Hardware Features
Recent works have shown promise in using microarchitectural execution patterns to detect malware programs. These detectors belong to a class of detectors known as signaturebased detectors as they catch malware by comparing a program’s execution pattern (signature) to execution patterns of known malware programs. In this work, we propose a new class of detectors — anomaly-based hardware malware ...
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ژورنال
عنوان ژورنال: International Journal of Innovative Research and Development
سال: 2020
ISSN: 2278-0211
DOI: 10.24940/ijird/2020/v9/i3/mar20036