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Titlebook: Binary Code Fingerprinting for Cybersecurity; Application to Malic Saed Alrabaee,Mourad Debbabi,Aiman Hanna Book 2020 Springer Nature Switz

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發(fā)表于 2025-3-21 16:50:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Binary Code Fingerprinting for Cybersecurity
期刊簡(jiǎn)稱(chēng)Application to Malic
影響因子2023Saed Alrabaee,Mourad Debbabi,Aiman Hanna
視頻videohttp://file.papertrans.cn/187/186268/186268.mp4
發(fā)行地址Provides a comprehensive presentation of the techniques used in binary code fingerprinting for cybersecurity applications and includes case studies.Presents a thorough understanding of modern binary c
學(xué)科分類(lèi)Advances in Information Security
圖書(shū)封面Titlebook: Binary Code Fingerprinting for Cybersecurity; Application to Malic Saed Alrabaee,Mourad Debbabi,Aiman Hanna Book 2020 Springer Nature Switz
影響因子This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools.?.This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly r
Pindex Book 2020
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Binary Analysis Overview,matize the study of binary code fingerprints based on the most important dimensions: the applications that motivate it, the approaches used and their implementations, the specific aspects of the fingerprinting framework, and how the results are evaluated.
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https://doi.org/10.1007/978-1-4039-8158-5ler and library) to detect user-related functions, it converts user-related functions into a canonical form to eliminate compiler/compilation effects. Then, it leverages a set of features based on collections of authors’ choices made during coding. These features capture an author’s programming coding habits.
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Identifying Reused Functions in Binary Code, control flow graph, register flow graph, function-call graph, and other structural information, into a joint data structure. Such a comprehensive representation captures different semantic descriptors of common functionalities in a unified manner as graph traces of SIG graphs.
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Authorship Attribution,ler and library) to detect user-related functions, it converts user-related functions into a canonical form to eliminate compiler/compilation effects. Then, it leverages a set of features based on collections of authors’ choices made during coding. These features capture an author’s programming coding habits.
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