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Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies

  • Updated Jun 10, 2020
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This paper presents the first systematization of knowledge within these major blockchain protocols, understanding the common challenges and solutions, and providing a formal structure within which to compare them. We break down these protocols by network, adversarial, and economic model, deeply understanding the common challenges of choosing pr…

  • Updated Jan 7, 2019
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