Titlebook: Digital Forensics and Cyber Crime; 11th EAI Internation Sanjay Goel,Pavel Gladyshev,Suryadipta Majumdar Conference proceedings 2021 ICST In

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Ramona ?ig?na?u,Loredana Maria Simionov, an investigator cannot conduct an in-depth examination of every device, thereby inevitably collecting all the devices seemingly relevant to the crime. Such excessive collection leads to not only legal concerns about the data privacy but also a massive examination backlog in a lab. To alleviate the

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Prophylaxis

分散

Paradoxes of Building Back Bettered by the recent great successes of neural network and representation learning in various program analysis tasks, this study proposes NMPI to achieve fine-grained program authorship attribution by analyzing the binary codes of individual functions from the perspective of sequence and structural. To

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Make Remote Forensic Investigations Forensic Again: Increasing the Evidential Value of Remote Forenplatform featuring an ARM TrustZone and demonstrate the stealthy extraction of Secure Sockets Layer encryption keys from an Android userland application. We evaluate the effectiveness, performance, and compatibility of our prototype and argue that it provides a much higher level of evidential value

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OATH

Android Dumpsys Analysis to Indicate Driver Distraction,s in identifying the driver’s intentional interaction with the smartphone. The study demonstrates that it is possible to identify a driver’s activities without access to their personal content. The paper proposes a?minimum set of requirements to construct a timeline of events which can clarify the a

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Eric Vaz,Teresa de Noronha,Hugo Pinto dependence on the environment. This paper focuses on the collection of IoT devices at the local level, linked to an investigative strategy. It presents several tools and methods to retrieve the objects and proposes to evaluate its relevance in a use case.