Titlebook: Secure IT Systems; 23rd Nordic Conferen Nils Gruschka Conference proceedings 2018 Springer Nature Switzerland AG 2018 authentication.comput

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: High Throughput and Low Energy Network Intrusion Detection on IoT Devices with Embedded GPUsan open issue, it has the promise to run NIDS more efficiently..In this work we introduce ., an extension to the well-known NIDS Snort that (a) is designed for IoT devices (b) alleviates the burden of pattern matching for intrusion detection by offloading it to the GPU. We thoroughly explain how our

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Steadymentation (.2,200 loc) shows reliable goodput of over 1M events/s (.160 MiB/s) for a realistic dataset with commodity hardware for a device on a GigE network using 16 MiB of memory connected to a relay running at Amazon EC2.

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Detection of Covert Channels in TCP Retransmissionsonsidered a promising detection method for retransmission-based covert channels while the compressibility itself provides insufficient results but could potentially be used as a classification feature.

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What You Can Change and What You Can’t: Human Experience in Computer Network Defensesdentity Theory, Relational Dialectics, and Cognitive Dissonance, provide a way of understanding and interpreting these components of Computer Network Defence work, and can be used to assess the experience of staff.

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Privacy-Preserving Distributed Economic Dispatch Protocol for Smart Grid all generator nodes that meet the demand of the customers at minimum operating cost. In recent years, distributed protocols have been proposed to replace the traditional centralized ED calculation for modern smart grid infrastructures with the most realistic being the one proposed by Binetti . (201

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Tracking Information Flow via Delayed OutputT apps and email marketing. We discuss the threat of privacy leaks via delayed output in code published by malicious app makers on popular IoT app platforms. We discuss the threat of privacy leaks via delayed output in non-malicious code on popular platforms for email-driven marketing. We present se

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AppLance: A Lightweight Approach to Detect Privacy Leak for Packed Applicationsrther complicates the problem and renders many existing analysis tools incapacitated. In this paper, we propose AppLance, a novel lightweight analysis system for Android packed applications without prior unpacking, which can also consider implicit information flow and privacy confusion. Without modi