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Binary Code Fingerprinting for Cybersecurity: Application to Malicious Code Fingerprinting

Binary Code Fingerprinting for Cybersecurity: Application to Malicious Code Fingerprinting

von Aiman Hanna, Amr Youssef, Ashkan Rahimian, Djedjiga Mouheb, He Huang, Lina Nouh, Lingyu Wang, Mourad Debbabi, Paria Shirani, Saed Alrabaee
Hardcover - 9783030342371
128,39 €
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Beschreibung

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 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.

Details

Verlag Springer International Publishing
Ersterscheinung März 2020
Maße 241 mm x 160 mm x 20 mm
Gewicht 576 Gramm
Format Hardcover
ISBN-13 9783030342371
Auflage 1st ed. 2020
Seiten 272

Schlagwörter