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|Title:||On the identifiability of multi-observer hidden Markov models|
|Citation:||2012 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings: March 25-30, 2012: pp.1873-1876|
|Series/Report no.:||International Conference on Acoustics Speech and Signal Processing ICASSP|
|Conference Name:||IEEE International Conference on Acoustics, Speech and Signal Processing (37th : 2012 : Kyoto, Japan)|
|Hung X Nguyen and Matthew Roughan|
|Abstract:||Most large attacks on the Internet are distributed. As a result, such attacks are only partially observed by any one Internet service provider (ISP). Detection would be significantly easier with pooled observations, but privacy concerns often limit the information that providers are willing to share. Multi-party secure distributed computation provides a means for combining observations without compromising privacy. In this paper, we show the benefits of this approach, the most notable of which is that combinations of observations solve identifiability problems in existing approaches for detecting network attacks.|
|Keywords:||Hidden Markov Models; Identifiability; Multiple Observers; Networks; Security|
|Appears in Collections:||Mathematical Sciences publications|
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