Titlebook: Applied Cryptography and Network Security Workshops; ACNS 2019 Satellite Jianying Zhou,Robert Deng,Kehuan Zhang Conference proceedings 201

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Risk-Based Static Authentication in Web Applications with Behavioral Biometrics and Session Context r sessions context, such as IP ranges and Browser type. On the other hand, behavioral dynamics such as mouse and keyword features have been proposed in order to improve authentication, but have been shown most effective only in continuous authentication scenarios. In this paper we propose to combine

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Using Honeypots in a Decentralized Framework to Defend Against Adversarial Machine-Learning Attacksto . (MLaaSs). Meticulously crafted malicious inputs can be used to mislead and confuse the learning model, even in cases where the adversary only has limited access to input and output labels. As a result, there has been an increased interest in defence techniques to combat these types of attacks.

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A New Proof of Work for Blockchain Based on Random Multivariate Quadratic Equationsent a new type of PoW, which relies on the hardness of solving a set of random quadratic equations over the finite field GF(2). We will present the advantages of such a PoW, in particular, in terms of its impact on decentralization and the incentives involved, and therefore demonstrate that this is

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Towards Blockchained Challenge-Based Collaborative Intrusion Detectionious organizations with the purpose of detecting any potential threats. While such systems and networks are usually vulnerable to insider attacks, some kinds of trust mechanisms should be integrated in a real-world application. Challenge-based trust mechanisms are one promising solution, which can m