Abstract
Auditors are often asked to opine on technical security and encryption technologies, as well as providing admissible evidence in legal cases. This chapter reviews the most encountered security and encryption technologies, with guides to how auditors should assess and manage them. Substantial new capabilities are now available through machine learning and large language models, which are reviewed in this chapter.
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Christopher Westland, J. (2024). Blockchains, Large Language Models, Cybercrime, and Forensics. In: Audit Analytics. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-031-47464-4_11
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DOI: https://doi.org/10.1007/978-3-031-47464-4_11
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Online ISBN: 978-3-031-47464-4
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