Titlebook: Network and System Security; 13th International C Joseph K. Liu,Xinyi Huang Conference proceedings 2019 Springer Nature Switzerland AG 2019

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Feng Shen,Yu Long,Zhen Liu,Zhiqiang Liu,Hongyang Liu,Dawu Gu,Ning Liu der Werkzeuge, orientiert am konkreten Vorgehen.Includes su.Das Six Sigma Konzept hat über die letzten 20 Jahre einen Siegeszug um die Welt angetreten und leistet in namhaften Unternehmen einen signifikanten Beitrag zum Ergebnis. Seit einigen Jahren wird das Erfolgskonzept Six Sigma um die Werkzeug

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Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisationdetection approaches usually rely on domain focused feature engineering, which is expensive and impractical. In this paper, we propose an autoencoder-based approach aiming to automatically learn the discriminative features of the insider behaviours, thus alleviating security experts from tedious ins

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Dynamic Searchable Symmetric Encryption with Forward and Backward Privacy: A Surveyater the data can be searched with limited information leakage. However, existing surveys have not covered most recent advances on SSE technique. To fill the gap, we make a survey on state-of-the-art representative SSE schemes in cloud environment. We mainly focus on dynamic SSE schemes with forward

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A Graph Database-Based Approach to Analyze Network Log Files example, using command line tools, any log file can be reviewed only in isolation. While using a log management system allows for searching across different log files, the relationship(s) between different network activities may not be easy to establish from the analysis of these different log file

DUST

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Using Audio Characteristics for Mobile Device Authenticationnents of mobile phones related to I/O operations, such as sensors, were assessed for suitability. From this process, efforts were focused on using both the phone’s speaker and microphone in combination to generate samples containing hardware defects which could then be classified. In our approach, a

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Ethereum Analysis via Node Clusteringle peer-to-peer contracts through its dedicated cryptocurrency Ether. And as the second largest blockchain, the amount of transaction data in Ethereum grows fast. Analysis of these data can help researchers better understand Ethereum and find attackers among the users. However, the analysis of Ether

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Strong Known Related-Key Attacks and the Security of ECDSA applications, public keys are generated in a way that the corresponding secret keys are additively related. The difference between two secret keys are known to some third parties. In this paper, we propose the . (Strong KRKA) model to capture this scenario..ECDSA has long been considered to be infe

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Threat Assessment of Enterprise Applications via Graphical Modellingbusiness application through application of attack graphs. The challenge of automation lies in extracting from a general business enterprise system, the distinct layers like asset layer, service layer, business process task layer etc., so that the task dependencies together with formal vulnerability