Name
Abstract | ||
|---|---|---|
Cyberdiversity is a concept borrowed from biology and refers to the introduction of diversity into the different levels of a computer. This kind of diversity is used to avert attacks that can threat a large number of systems that share common characteristics and as a result common vulnerabilities. Currently, there are many methods that introduce cyberdiversity into systems but there is no attempt to measure the existing cyberdiversity. In this paper we introduce a novel approach that measures the existing diversity in software. To accomplish that, we specify three different metrics. The concept of our approach is to collect specific information and then process it in order to find distinct similarities or differences within software. To test our approach, we implemented a system, based on the client-server architecture. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/PCI.2010.43 | Panhellenic Conference on Informatics |
Keywords | Field | DocType |
initial results,diversity,share common characteristic,computer security,different level,large number,biology computing,distinct similarity,different metrics,existing diversity,client server architecture,cyberdiversity,metrics,client-server architecture,monoculture,result common vulnerability,novel approach,existing cyberdiversity,security of data,computer architecture,measurement,security,linux | Data mining,Architecture,Computer science,Specific-information,Software,Client–server model,Vulnerability | Conference |
ISBN | Citations | PageRank |
978-1-4244-7838-5 | 1 | 0.37 |
References | Authors | |
16 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantinos Kravvaritis | 1 | 3 | 1.37 |
| Dimitris Mitropoulos | 2 | 90 | 15.14 |
| Diomidis Spinellis | 3 | 2023 | 178.89 |