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

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Book 2020standing 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 e

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Free Open-Source Software Fingerprinting,en the source code is inaccessible. Moreover, the task of automated detection of FOSS packages becomes more complicated with the introduction of obfuscation techniques, the use of different compilers and compilation settings, and software refactoring techniques.

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Clone Detection,ching detection engine can perform code comparison accurately and as a result, the false correlation to irrelevant code can be avoided. The fingerprint-based detection engine can efficiently prune the search space without notably compromising the accuracy.

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The DC Factions and Leadership Group,mproves their accuracy by avoiding false correlations between irrelevant code bases. Furthermore, such automation has a strong positive impact in other applications such as clone detection, function fingerprinting, authorship attribution, vulnerability analysis, and malware analysis.

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APO

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Function Fingerprinting,ary code fingerprinting by computing and matching structural and syntactic code profiles for disassemblies. We describe the proposed methodology and evaluate its performance in several use cases, including function reuse, malware analysis, and indexing scalability.

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Conclusion,enting scalable and efficient binary code fingerprinting techniques that support a multitude of security applications such as vulnerability detection, patch analysis, reverse engineering, digital forensics, malware detection, and authorship attribution.