Virus and Warning Spread in Dynamical Networks

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 5 figures, article

Scientific paper

Recent work on information survival in sensor and human P2P networks, try to study the datum preservation or the virus spreading in a network under the dynamical system approach. Some interesting solutions propose to use non-linear dynamical systems and fixed point stability theorems, providing closed form formulas that depend on the largest eigenvalue of the dynamic system matrix. Given that in a the Web there can be messages from one place to another, and that this messages can be, with some probability, new unclassified virus warning messages as well as worms or other kind of virus, the sites can be infected very fast. The question to answer is how and when a network infection can become global and how it can be controlled or at least how to stabilize his spreading in such a way that it becomes confined below a fixed portion of the network. In this paper, we try to make a step ahead in this direction and apply classic results of the dynamical systems theory to model the behaviour of a network where warning messages and virus spread.

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

Virus and Warning Spread in Dynamical Networks 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 Virus and Warning Spread in Dynamical Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Virus and Warning Spread in Dynamical Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-284412

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