Distributed Denial-of-Service: What Datasets Can Help?

Distributed Denial-of-Service: What Datasets Can Help?

Heidemann, John
USC/Information Sciences Institute

John Heidemann 2016. Distributed Denial-of-Service: What Datasets Can Help? Invited talk at ACM Annual Computer Security Applications Conference.

Abstract

Distributed Denial-of-Service attacks are continuing threat to the Internet. Meeting this threat requires new approaches that will emerge from new research, but new research requires the support of dataset and experimental methods. This talk describes four different aspects of research on DDoS, privacy and security, and the datasets that have generated to support that research. Areas we consider are detecting low rate DDoS attacks, understanding the effects of DDoS on DNS infrastructure, evolving the DNS protocol to prevent DDoS and improve privacy, and ideas about experimental testbeds to evaluate new ideas in DDoS defense for DNS. Datasets described in this talk are available at no cost from the author and through the IMPACT Program.

Reference

@misc{Heidemann16d,
  author = {Heidemann, John},
  title = {Distributed Denial-of-Service: What Datasets Can Help?},
  howpublished = {Invited talk at  ACM Annual Computer Security Applications Conference},
  month = dec,
  year = {2016},
  sortdate = {2016-12-07},
  project = {ant, nocredit, lacrend, researchroot, nipet},
  jsubject = {network_security},
  location = {johnh: pafile},
  keywords = {dns, experimentation, research root, nipet, datasets, impact},
  url = {http://www.isi.edu/%7ejohnh/PAPERS/Heidemann16d.html},
  pdfurl = {http://www.isi.edu/%7ejohnh/PAPERS/Heidemann16d.pdf},
  blogurl = {https://ant.isi.edu/blog/?p=926},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {authors}
}