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Titlebook: Automatic Malware Analysis; An Emulator Based Ap Heng Yin,Dawn Song Book 2013 The Author(s) 2013 Binary Analysis.Dynamic Binary Instrumenta

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發(fā)表于 2025-3-21 16:05:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automatic Malware Analysis
期刊簡(jiǎn)稱An Emulator Based Ap
影響因子2023Heng Yin,Dawn Song
視頻videohttp://file.papertrans.cn/167/166430/166430.mp4
學(xué)科分類SpringerBriefs in Computer Science
圖書封面Titlebook: Automatic Malware Analysis; An Emulator Based Ap Heng Yin,Dawn Song Book 2013 The Author(s) 2013 Binary Analysis.Dynamic Binary Instrumenta
影響因子.Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems.? .Automatic Malware Analysis .presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms..
Pindex Book 2013
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Concluding Remarks,We proposed TEMU as a dynamic binary analysis platform. Then on top of TEMU, we proposed and built a series of novel techniques for automatic malware analysis, including ., ., ., and ., for detecting and analyzing various aspects of malware. Since these techniques capture intrinsic characteristics o
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Privacy-breaching Behavior Analysis, Desktop as a case study, we show that our system can accurately capture its information access and processing behavior, and we can confirm that it does send back sensitive information to remote servers in certain settings. We believe that a system such as Panorama will offer indispensable assistanc
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發(fā)表于 2025-3-23 07:08:48 | 只看該作者
Hooking Behavior Analysis,malware samples from various categories. We have demonstrated that HookFinder can correctly identify the hooking behaviors of all samples, and provide accurate insights about their hooking mechanisms.
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