Andrew Novocin - IEEE Xplore Author Profile

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Recent attempts to introduce the Generative Adversarial Network (GAN) to the computer network traffic domain have shown promise, including several frameworks which generate realistic traffic. This paper presents the `GAN vs Real (GvR) score', a task-based metric which quantifies how well a traffic GAN generator informs a classifier compared to the original data. This metric is derived from the `Tr...Show More