Malware detection based on Cloud Computing integrating Intrusion Ontology representation

@article{Martinez2010MalwareDB,
  title={Malware detection based on Cloud Computing integrating Intrusion Ontology representation},
  author={Cristian Adrian Martinez and Gustavo Isaza Echeverri and Andres G. Castillo Sanz},
  journal={2010 IEEE Latin-American Conference on Communications},
  year={2010},
  pages={1-6}
}
This paper aims to present a model for malware detection, uCLAVS (University of Caldas' AntiVirus Service), a multiple engine service that follows the set of defined protocols and standards for Web Services technologies, in addition an Ontology for Malware and Intrusion Detection is described. uCLAVS is based on the idea that the files analysis commonly carried by applications residing on the client can improve their performance if they are moved to the network, where instead of running complex… CONTINUE READING
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