Name
Abstract | ||
|---|---|---|
Exploiting autonomic adaptation in defending a distributed application is a relatively new research area. We describe how the QuO adaptive middleware was used to implement auto-adaptive defenses ranging from simple rapid-response sensor-actuator tactics to more sophisticated containment and out-run strategies. In addition, we report on two experiments where live red team attacks were used to evaluate our auto-adaptive defense technology. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICDCSW.2003.1203540 | ICDCS Workshops |
Keywords | Field | DocType |
auto-adaptive defenses,quo adaptive middleware,sophisticated containment,quo-apod experience,out-run strategy,new research area,live red team attack,autonomic adaptation,auto-adaptive defense technology,building auto-adaptive,simple rapid-response sensor-actuator tactic,adaptive behavior,distributed system,quality of service,availability,middleware,distributed application,code generation,distributed computing,real time,adaptive systems,specification language | Middleware,Computer science,Quality of service,Ranging,Operating system,Distributed computing | Conference |
ISBN | Citations | PageRank |
0-7695-1921-0 | 12 | 1.00 |
References | Authors | |
3 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Atighetchi | 1 | 170 | 23.73 |
| Partha P. Pal | 2 | 12 | 1.34 |
| Christopher C. Jones | 3 | 25 | 1.83 |
| Paul Rubel | 4 | 177 | 12.11 |
| Richard E. Schantz | 5 | 1113 | 169.17 |
| Joseph P. Loyall | 6 | 529 | 52.42 |
| John A. Zinky | 7 | 190 | 26.28 |