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020 _a9783030342388
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024 7 _a10.1007/978-3-030-34238-8
_2doi
050 4 _aQA76.9.A25
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100 1 _aAlrabaee, Saed.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aBinary Code Fingerprinting for Cybersecurity
_h[electronic resource] :
_bApplication to Malicious Code Fingerprinting /
_cby Saed Alrabaee, Mourad Debbabi, Paria Shirani, Lingyu Wang, Amr Youssef, Ashkan Rahimian, Lina Nouh, Djedjiga Mouheb, He Huang, Aiman Hanna.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXI, 249 p. 78 illus., 32 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aAdvances in Information Security,
_x2512-2193 ;
_v78
505 0 _a1 Introduction -- 2 Binary Analysis Overview -- 3 Compiler Provenance Attribution -- 4 Library Function Identification -- 5 Identifying Reused Functions in Binary Code -- 6 Function Fingerprinting -- 7 Free Open-Source Software Fingerprinting -- 8 Clone Detection -- 9 Authorship Attribution -- 10 Conclusion.
520 _aThis 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 relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
650 0 _aData protection.
650 0 _aBiometric identification.
650 0 _aComputer crimes.
650 1 4 _aData and Information Security.
650 2 4 _aBiometrics.
650 2 4 _aCybercrime.
700 1 _aDebbabi, Mourad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aShirani, Paria.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aWang, Lingyu.
_eauthor.
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_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aYoussef, Amr.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aRahimian, Ashkan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aNouh, Lina.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aMouheb, Djedjiga.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aHuang, He.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aHanna, Aiman.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030342371
776 0 8 _iPrinted edition:
_z9783030342395
776 0 8 _iPrinted edition:
_z9783030342401
830 0 _aAdvances in Information Security,
_x2512-2193 ;
_v78
856 4 0 _uhttps://doi.org/10.1007/978-3-030-34238-8
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