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SUMMARY:I(FIB)F: Iterated Bloom Filters for Routing in Named Data Networks
  - Cristina Munoz Illescas (University of Geneva)
DTSTART:20161006T140000Z
DTEND:20161006T150000Z
UID:TALK66940@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:Named Data Networks provide a clean-slate redesign of the Futu
 re Internet for efficient content distribution. Because Internet of Things
  are expected to compose a significant part of Future Internet\, most cont
 ent will be managed by constrained devices. Such devices are often equippe
 d with limited CPU\, memory\, bandwidth\, and energy supply. However\, the
  current Named Data Networks design neglects the specific requirements of 
 Internet of Things scenarios and many data structures need to be further o
 ptimised. The purpose of this research is to provide an efficient strategy
  to route in Named Data Networks by constructing a Forwarding Information 
 Base using Iterated Bloom Filters defined as I(FIB)F. We propose the use o
 f content names based on iterative hashes. This strategy leads to reduce t
 he overhead of packets. Moreover\, the memory and the complexity required 
 in the forwarding strategy are lower than in current solutions. We compare
  our proposal with solutions based on hierarchical names and Standard Bloo
 m Filters. We show how to further optimise I(FIB)F by exploiting the struc
 ture information contained in hierarchical content names. Finally\, two st
 rategies may be followed to reduce: (i) the overall memory for routing or 
 (ii) the probability of false positives.\n\nBio: Cristina is a postdoctora
 l researcher awarded by the Swiss National Science Foundation with an Earl
 y Postdoc.Mobility fellowship. She obtained her Ph.D. degree in Computer S
 cience at the University of Geneva in 2016. Her research interests are foc
 used on the development of the future Internet and its security challenges
 . Of particular interest is the improvement of content distribution networ
 ks as Named Data Networks. 
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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