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Neural correlates of gender differences and color in distinguishing security warnings and legitimate websites: a neurosecurity study

Bonnie Brinton Anderson, C. Brock Kirwan, David Eargle, Scott R. Jensen, Anthony Vance
2015 Journal of Cybersecurity  
We found that the amplitude of the P300-an event-related potential component indicative of decision-making ability-was higher for all participants when viewing malware warning screenshots relative to legitimate  ...  This study illustrates the potential for neurosecurity by investigating how two fundamental biological factors-gender and color perception-affect users' reception of security warnings.  ...  Katz Graduate School of Business and College of Business Administration at the University of Pittsburgh through a grant from the BNY Mellon Foundation of Western PA. Conflict of interest statement.  ... 
doi:10.1093/cybsec/tyv005 dblp:journals/cybersecurity/AndersonKEJV15 fatcat:3bq3wmlzfrdpjcfupeg3rsz34a

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  European Studies on Renewable Energy Systems.  ...  .; at the UCA: Oscar Pernía, Ignacio Turias; at the US: Ruben Martin Clemente and Sergio Cruces; at the University of Leicester: Yudong Zhang and Shui Hua Wang; and at everywhere: Ana Maria Tomé, Elmar  ... 
doi:10.5281/zenodo.7010718 fatcat:a4gzrvtkybdbpmycqmjkvryco4

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  European Studies on Renewable Energy Systems.  ...  .; at the UCA: Oscar Pernía, Ignacio Turias; at the US: Ruben Martin Clemente and Sergio Cruces; at the University of Leicester: Yudong Zhang and Shui Hua Wang; and at everywhere: Ana Maria Tomé, Elmar  ... 
doi:10.5281/zenodo.7039276 fatcat:dyorjakurnaxxgvgoojcbpyd5a