Abstract
The rise of malware attacks in recent years has significantly increased the importance of binary code analysis for extracting intelligence that could be used to propose countermeasures that will attenuate the risks underlying these attacks. This has led to a surge of interest in designing and implementing 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.
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Alrabaee, S. et al. (2020). Conclusion. In: Binary Code Fingerprinting for Cybersecurity. Advances in Information Security, vol 78. Springer, Cham. https://doi.org/10.1007/978-3-030-34238-8_10
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DOI: https://doi.org/10.1007/978-3-030-34238-8_10
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-34238-8
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