Titlebook: Advances in Digital Forensics XIX; 19th IFIP WG 11.9 In Gilbert Peterson,Sujeet Shenoi Book 2023 IFIP International Federation for Informat

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Generalization in Learning from Examples,en used to produce fake pornography, spread fake news and rumors, influence public opinion and even elections. However, deepfake detection techniques are well behind deepfake generation technology..This chapter describes a deepfake video detection method that leverages aspect ratios to express multi

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Challenges for Computational Intelligencecur and propagate in networks. System object instance graphs can reveal attack paths at the system level and help understand attack propagation. The graphs capture dependencies between system object instances such as files, processes and sockets, and help compute the infection probabilities of objec

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Matthew B. Canzoneri,Behzad T. Dibaore important than ever. When an anomaly is detected, security professionals need to accurately identify the components that are under attack. However, traditional methods do not provide enough traces, which makes it difficult to identify the targeted components..This chapter describes a traceable a

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https://doi.org/10.1057/9780230524491try have developed tools to assist law enforcement in conducting digital forensic investigations. However, inadequate awareness of the legal provisions on the part of law enforcement and the absence of updated laws have resulted in situations where, despite the availability of technological support,

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,What’s Wrong with Europe’s Economy?, criminal case data, especially email and paper documents that provide exposure to illegal data alteration..This chapter describes a blockchain model for sharing criminal case data securely and efficiently with authorized criminal justice system entities. The model is implemented using Hyperledger F

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Advances in Digital Forensics XIX978-3-031-42991-0Series ISSN 1868-4238 Series E-ISSN 1868-422X

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