Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/75051
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: On the identifiability of multi-observer hidden Markov models
Author: Nguyen, H.
Roughan, M.
Citation: 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings: March 25-30, 2012: pp.1873-1876
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
Series/Report no.: International Conference on Acoustics Speech and Signal Processing ICASSP
ISBN: 9781467300469
ISSN: 1520-6149
Conference Name: IEEE International Conference on Acoustics, Speech and Signal Processing (37th : 2012 : Kyoto, Japan)
Statement of
Responsibility: 
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
Rights: ©2012 IEEE
RMID: 0020122744
DOI: 10.1109/ICASSP.2012.6288268
Description (link): http://www.icassp2012.com/
Published version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6268628
Appears in Collections:Mathematical Sciences publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.