DocumentCode :
2931581
Title :
Detecting Malicious Manipulation in Grid Environments
Author :
Martins, Felipe ; Maia, Márcio ; de Castro Andrade, Rossana M. ; Dos Santos, Aldri L. ; De Souza, José Neuman
Author_Institution :
Dept. of Teleinformatics Eng., Fed. Univ. of Ceara, Fortaleza
fYear :
2006
fDate :
Oct. 2006
Firstpage :
28
Lastpage :
35
Abstract :
Malicious manipulation of jobs results endangers the efficiency and performance of grid computing applications. The presence of nodes interested in depreciating jobs results may be detected and minimized with the usage of fault tolerance techniques. In order to detect this kind of nodes, this paper presents a distributed and hierarchical diagnosis model based on comparison and reputation, which can be applied to both public and private grids. This strategy defines the status of a node according to its level of confidence, measured through its behavior. The proposed model was submitted to simulations to evaluate its effectiveness under different quota of malicious nodes. The results reveals that 8 test rounds can detect practically all malicious nodes and even with less rounds, the correctness remains high without a significant overhead increase
Keywords :
fault tolerant computing; grid computing; security of data; distributed diagnosis mode; fault tolerance; grid computing; hierarchical diagnosis model; malicious manipulation detection; private grids; public grids; Application software; Computer science; Data security; Distributed computing; Fault detection; Fault tolerance; Fault tolerant systems; Grid computing; System performance; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architecture and High Performance Computing, 2006. SBAC-PAD '06. 18TH International Symposium on
Conference_Location :
Ouro Preto
ISSN :
1550-6533
Print_ISBN :
0-7695-2704-3
Type :
conf
DOI :
10.1109/SBAC-PAD.2006.16
Filename :
4032413
Link To Document :
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