Titlebook: Information Security Theory and Practice; 12th IFIP WG 11.2 In Olivier Blazy,Chan Yeob Yeun Conference proceedings 2019 IFIP International

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Prediction-Based Intrusion Detection System for In-Vehicle Networks Using Supervised Learning and Ounterfaces, all communicating over shared internal communication buses. The cyber-physical architecture based on this ECU network has been proven vulnerable to multiple types of attacks leveraging remote, direct and indirect physical access. Attacks initiated from these access vectors go through the

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Deep Learning Application in Security and Privacy – Theory and Practice: A Position Papera heterogeneous group of hardware, software, services, and organisations. Such infrastructure faces a diverse range of challenges to its operations that include security, privacy, resilience, and quality of services. Among these, cybersecurity and privacy are taking the centre-stage, especially sinc

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Detection of Bitcoin-Based Botnets Using a One-Class Classifiertackers have built C&C (Command and Control) infrastructures on top of popular Internet services such as Skype and Bitcoin. In this work, we propose an approach to detect botnets with C&C infrastructures based on the Bitcoin network. First, transactions are grouped according to the users that issued

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e environment across the regional borders and beyond. This requires collaboration of states and the business community to facilitate such a policy to ensure transformation and economic recovery in the region. Besides states collaborative support, capabilities and technical support (including infrast

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Damien Vergnaudubstantially larger number of banks would have entered into bankruptcy than actually did so. Lind-blom, Olsson and Willesson (2011) report that the guarantee programme introduced into the Swedish market had already been utilized from the start by domestic banks in general, and by one of the four lar