Evaluation of SVM classification of avatar facial recognition
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Detecting machine-morphed malware variants via engine attribution
Journal in Computer Virology
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Domestic and industrial robots, intelligent software agents, virtual world avatars and other artificial entities are quickly becoming a part of our everyday life. Just like it is necessary to accurately authenticate identity of human beings, it is becoming essential to be able to determine identities of non-biological agents. In this paper, we present the current state of the art in virtual reality security, focusing specifically on emerging methodologies for avatar authentication. We also outline future directions and potential applications for this high impact research field.