Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter

@article{Zhang2019DeterminingTS,
  title={Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter},
  author={Chi Zhang and Bryan Wilkinson and Ashwinkumar Ganesan and Tim Oates},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.05890}
}
Denial of Service (DoS) attacks are common in on-line and mobile services such as Twitter, Facebook and banking. As the scale and frequency of Distributed Denial of Service (DDoS) attacks increase, there is an urgent need for determining the impact of the attack. Two central challenges of the task are to get feedback from a large number of users and to get it in a timely manner. In this paper, we present a weakly-supervised model that does not need annotated data to measure the impact of DoS… 

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