IEEE Project Titles, VIRUS SPREAD IN NETWORKS

.Net Projects ( major )	Java Projects ( major )	VB Projects ( major )	Php Projects ( major )	Vc++ Projects ( major )	SQL projects ( major )	IEEE ECE Projects
C&Ds projects ( major )	C++ projects ( major )	Perl projects ( major )	Cold Fusion Projects	ASP projects ( major )	Delphi projects ( major )	IEEE CSE Projects

Custom Search

What is 1000Projects
'1000projects.com' is an educational content website dedicated to finding and realizing Final Year Projects, IEEE Projects, Engineering Projects, Science Fair Projects, Project Topics, Project Ideas, Major Projects, Mini Projects, Paper Presentations, Presentation Topics, IEEE Topics, .Net Projects, Java Projects, PHP Projects, VB Projects, SQL Projects, C & DS Projects, C++ Projects, Perl Projects, ASP Projects, Delphi Projects, HTML Projects, Cold Fusion Projects, Java Script Projects, Btech Projects, BE Projects, MCA Projects, Mtech Projects, MBA Projects, Project on Software, CBSE Projects, Testing Projects, Embedded Projects, Chemistry Projects, Electronics Projects, Electrical Projects, Science Projects, Mechanical Projects, Mba project Reports, Placement papers, Sample Resumes, Entrance Exams, Technical Faq's, Puzzles, etc

how it works?

Everything on this site is submitted by the students in this professional community. You Can submit your Projects, Project Topics & Ideas to info.1000projects{at}gmail.com after you submit your project/project Idea/Abstract/Seminar Topics, These are being verified and approved by our administrator. after approval of this project/project Idea/Abstract/Seminar Topics, It can be shown on 1000projects.com so that other users can read/discuss it.The entire content on this website is Only For Educational Purpose, Non Commercial use!

Please help us/Other Users by sending projects/project Ideas/Abstracts/Seminar Topics. Thanking You!!!!!

VIRUS SPREAD IN NETWORKS
NETWORKING
DOT NET
We study how the spread of computer viruses, worms, and other self-replicating malware is affected by the logical topology of the network over which they propagate. We consider a model in which each host can be in one of 3 possible states - susceptible, infected or removed (cured and no longer susceptible to infection). We characterize how the size of the population that eventually becomes infected depends on the network topology. Specially, we show that if the ratio of cure to infection rates is larger than the spectral radius of the graph, and the initial infected population is small, then the final infected population is also small in a sense that can be made precise. Conversely, if this ratio is smaller than the spectral radius, then we show in some graph models of practical interest (including power law random graphs) that the final infected population is large. These results yield insights into what the critical parameters are in determining virus spread in networks.