In-packet Bloom filters: Design and networking applications

Computer Science – Data Structures and Algorithms

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages, 11 figures, preprint submitted to Elsevier COMNET Journal

Scientific paper

The Bloom filter (BF) is a well-known space-efficient data structure that answers set membership queries with some probability of false positives. In an attempt to solve many of the limitations of current inter-networking architectures, some recent proposals rely on including small BFs in packet headers for routing, security, accountability or other purposes that move application states into the packets themselves. In this paper, we consider the design of such in-packet Bloom filters (iBF). Our main contributions are exploring the design space and the evaluation of a series of extensions (1) to increase the practicality and performance of iBFs, (2) to enable false-negative-free element deletion, and (3) to provide security enhancements. In addition to the theoretical estimates, extensive simulations of the multiple design parameters and implementation alternatives validate the usefulness of the extensions, providing for enhanced and novel iBF networking applications.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

In-packet Bloom filters: Design and networking applications does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with In-packet Bloom filters: Design and networking applications, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and In-packet Bloom filters: Design and networking applications will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-233098

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.