Artigo em revista científica Q2
Sifu - a cybersecurity awareness platform with challenge assessment and intelligent coach
Tiago Espinha Gasiba (Gasiba, T.); Ulrike Lechner (Lechner, U.); Maria Pinto-Albuquerque (Pinto-Albuquerque, M.);
Título Revista
Cybersecurity
Ano (publicação definitiva)
2020
Língua
Inglês
País
Estados Unidos da América
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Abstract/Resumo
Software vulnerabilities, when actively exploited by malicious parties, can lead to catastrophic consequences. Proper handling of software vulnerabilities is essential in the industrial context, particularly when the software is deployed in critical infrastructures. Therefore, several industrial standards mandate secure coding guidelines and industrial software developers’ training, as software quality is a significant contributor to secure software. CyberSecurity Challenges (CSC) form a method that combines serious game techniques with cybersecurity and secure coding guidelines to raise secure coding awareness of software developers in the industry. These cybersecurity awareness events have been used with success in industrial environments. However, until now, these coached events took place on-site. In the present work, we briefly introduce cybersecurity challenges and propose a novel platform that allows these events to take place online. The introduced cybersecurity awareness platform, which the authors call Sifu, performs automatic assessment of challenges in compliance to secure coding guidelines, and uses an artificial intelligence method to provide players with solution-guiding hints. Furthermore, due to its characteristics, the Sifu platform allows for remote (online) learning, in times of social distancing. The CyberSecurity Challenges events based on the Sifu platform were evaluated during four online real-life CSC events. We report on three surveys showing that the Sifu platform’s CSC events are adequate to raise industry software developers awareness on secure coding.
Agradecimentos/Acknowledgements
The authors would like to thank the survey participants for their useful and insightful discussions and for their participation in the survey. The authors would like thank Dr. Kristian Beckers and Thomas Diefenbach for their helpful, insightful, and const
Palavras-chave
Cybersecurity,Awareness,Training,Artificial intelligence,Serious games,Secure coding,Static application security testing,Capture-the-flag,Software development in industry
  • Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
Registos de financiamentos
Referência de financiamento Entidade Financiadora
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia