Human centric framework for customising and producing effective cybersecurity training materials [Elektronisk resurs]
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Giriraj, Ashwinraj (författare)
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Joint 4th International Workshop on Experience with SQuaRE Series and Its Future Direction and 1st Asia-Pacific Software Engineering and Diversity, Equity, and Inclusion Workshop, IWESQ 2022 + APSEDEI 2022, Tokyo, Japan, December 6, 2022
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Haggag, Sherif (författare)
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Haggag, Hussein (författare)
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Umeå universitet Teknisk-naturvetenskapliga fakulteten (utgivare)
- Publicerad: 2022
- Engelska.
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Serie: CEUR Workshop proceedings, 1613-0073 1613-0073
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Ingår i: IWESQ 2022 + APSEDEI 2022. ; 69-77
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Läs hela texten
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Läs hela texten
- Relaterad länk:
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http://www.umu.se/ (Värdpublikation)
Sammanfattning
Ämnesord
Stäng
- These days organizational security breaches are widespread, and many of them can be traced back to human errors. As a result, companies must improve employee security awareness and their ability to engage in safe cybersecurity practices. To accomplish so, organizations should spend on cybersecurity training and awareness programs to urge employees to take an active role in adhering to security policies. Numerous organizations' cybersecurity training and awareness activities, on the other hand, fall short of their goals since most training programs focus solely on technical issues, leaving many human factors unaddressed, resulting in training failure. Unlike most other cybersecurity training programs, this study emphasizes the importance of human factors in cybersecurity and the need for successful cybersecurity training and awareness programs in businesses and provides best practices that will assist organizations in developing and implementing effective cybersecurity programs that account for human factors. Also, the end objective of this research is to implement a framework that will suggest personalized cybersecurity training materials based on the end-user's knowledge about cybersecurity.
Ämnesord
- Natural Sciences (hsv)
- Computer and Information Sciences (hsv)
- Computer Sciences (hsv)
- Naturvetenskap (hsv)
- Data- och informationsvetenskap (hsv)
- Datavetenskap (datalogi) (hsv)
Genre
- government publication (marcgt)
Indexterm och SAB-rubrik
- Cybersecurity
- framework
- human factors
Inställningar
Hjälp
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