SKALD: A Scalable Architecture for Feature Extraction, Multi-user Analysis, and Real-Time Information Sharing

George D. Webster, Zachary D. Hanif, Andre L. P. Ludwig, Tamas K. Lengyel, Apostolis Zarras, Claudia Eckert. SKALD: A Scalable Architecture for Feature Extraction, Multi-user Analysis, and Real-Time Information Sharing. In Matt Bishop, Anderson C. A. Nascimento, editors, Information Security - 19th International Conference, ISC 2016, Honolulu, HI, USA, September 3-6, 2016, Proceedings. Volume 9866 of Lecture Notes in Computer Science, pages 231-249, Springer, 2016. [doi]

@inproceedings{WebsterHLLZE16,
  title = {SKALD: A Scalable Architecture for Feature Extraction, Multi-user Analysis, and Real-Time Information Sharing},
  author = {George D. Webster and Zachary D. Hanif and Andre L. P. Ludwig and Tamas K. Lengyel and Apostolis Zarras and Claudia Eckert},
  year = {2016},
  doi = {10.1007/978-3-319-45871-7_15},
  url = {http://dx.doi.org/10.1007/978-3-319-45871-7_15},
  researchr = {https://researchr.org/publication/WebsterHLLZE16},
  cites = {0},
  citedby = {0},
  pages = {231-249},
  booktitle = {Information Security - 19th International Conference, ISC 2016, Honolulu, HI, USA, September 3-6, 2016, Proceedings},
  editor = {Matt Bishop and Anderson C. A. Nascimento},
  volume = {9866},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-45870-0},
}