Actions for Binary Code Fingerprinting for Cybersecurity [electronic resource] : Application to Malicious Code Fingerprinting

Email RIS file
Bookmark
Report an Issue

Binary Code Fingerprinting for Cybersecurity [electronic resource] : Application to Malicious Code Fingerprinting / by Saed Alrabaee, Mourad Debbabi, Paria Shirani, Lingyu Wang, Amr Youssef, Ashkan Rahimian, Lina Nouh, Djedjiga Mouheb, He Huang, Aiman Hanna

Author
Alrabaee, Saed
Published
Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition
1st ed. 2020.
Physical Description
XXI, 249 pages 78 illustrations, 32 illustrations in color : online resource
Additional Creators
Debbabi, Mourad, Shirani, Paria, Wang, Lingyu, Youssef, Amr, Rahimian, Ashkan, Nouh, Lina, Mouheb, Djedjiga, Huang, He, Hanna, Aiman, and SpringerLink (Online service)
Access Online

Availability

I Want It
I Want It

Finding items...

Series
Contents
1 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.
Summary
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.
Subject(s)
ISBN
9783030342388
Digital File Characteristics
text file PDF
Part Of
Springer eBooks
View MARC record | catkey: 29987795