کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6883920 1444209 2018 55 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Auto-detection of sophisticated malware using lazy-binding control flow graph and deep learning
ترجمه فارسی عنوان
تشخیص خودکار تروجان پیشرفته با استفاده از نمودار جریان کنترل و یادگیری عمیق
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
In this paper, we propose an enhanced form of CFG, known as lazy-binding CFG to reflect the DEC behaviors. Then, with the recent advancement of the deep learning techniques, we present a method of producing image-based representation from the generated CFG. As deep learning is very popular to perform image classification on very large dataset, our proposed technique can be applied for malware detection on real-world computer programs and thus enjoying very high accuracy. We also illustrate our analysis results with some well-known malware samples, including WannaCry, Kasperagent and Sality, one of the most sophisticated polymorphic viruses.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Security - Volume 76, July 2018, Pages 128-155
نویسندگان
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