AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs

Laato, Samuli; Farooq, Ali; Tenhunen, Henri; Pitkämäki, Tinja; Hakkala, Antti; Airola, Antti

doi:10.1109/icalt49669.2020.00009

Cited by 18 publications

(7 citation statements)

References 18 publications

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“…This finding supports the results that emerged after the online cyber security and cyber awareness training in the research. Laato et al [28] also examined the effects of variables, such as age and gender, on cyber security knowledge. At the end of the research, it was revealed that male students were more knowledgeable than female students.…”

Section: Discussionmentioning

confidence: 99%

Determination of Cyber Security Issues and Awareness Training for University Students

Khamzina

Roza

Zhussupbekova

et al. 2022

Int. J. Emerg. Technol. Learn.

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In this study, it is aimed to determine the cyber security problems and awareness training to university students. The research was carried out in the fall semester of 2021–2022. The study, which was carried out with the participation of 410 university education and psychology students, was carried out using the survey model. In the research, 4-week cyber security and cyberattack training was given online to university students. The cyber security measurement tool was developed and used by the researchers in order to collect data in the study. The data collection tool used in the research was delivered and collected by the online method. The analysis of the data was made using the SPSS programme, frequency analysis and t-test. The results were added to the research in the form of tables. As a result of the research, it was concluded that university cyber security and cyberattack training was designed and they were good in this field.

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Section: Discussionmentioning

confidence: 99%

Determination of Cyber Security Issues and Awareness Training for University Students

Khamzina

Roza

Zhussupbekova

et al. 2022

Int. J. Emerg. Technol. Learn.

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“…For example, work has been done in the use of serious games and the gamification of security research, particularly for the purpose of education including two summits on Gaming, Games, and Gamification in Security Education (3GSE) 3 and more recent works by Antonaci et al and Švábenskỳ et al [5], [6]. Other work has looked at the use of Massive Open Online Courses (MOOCs) to teach cybersecurity [5], [7], [8]. Many organizations provide online cybersecurity learning resources such as the Cyber Security Body of Knowledge (CYBOK) 4 and SAFECode 5 .…”

Section: Related Workmentioning

confidence: 99%

“…NIST SP 800-53 defines a vulnerability as "a weakness in ... an implementation that could be exploited by a threat source". The vulnerability counts in Section VII-D abide by the definition of vulnerability from the Common Vulnerabilities and Exposures (CVE) 7 list that is also used by the U.S. National vulnerability Database 8 . Namely, that a vulnerability is a "flaw in a software, firmware, hardware, or service component resulting from a weakness that can be exploited, causing a negative impact to the confidentiality, integrity, or availability of an impacted component or components" 9 .…”

Section: A Vulnerabilitymentioning

confidence: 99%

Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard

Elder¹,

Zahan²,

Kozarev³

et al. 2021

Preprint

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Lack of security expertise among software practitioners is a problem with many implications. First, there is a deficit of security professionals to meet current needs. Additionally, even practitioners who do not plan to work in security may benefit from increased understanding of security. The goal of this paper is to aid software engineering educators in designing a comprehensive software security course by sharing an experience running a software security course for the eleventh time. Through all the eleven years of running the software security course, the course objectives have been comprehensive -ranging from security testing, to secure design and coding, to security requirements to security risk management. For the first time in this eleventh year, a theme of the course assignments was to map vulnerability discovery to the security controls of the Open Web Application Security Project (OWASP) Application Security Verification Standard (ASVS). Based upon student performance on a final exploratory penetration testing project, this mapping may have increased students' depth of understanding of a wider range of security topics. The students efficiently detected 191 unique and verified vulnerabilities of 28 different Common Weakness Enumeration (CWE) types during a three-hour period in the OpenMRS project, an electronic health record application in active use.

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“…The banking [1], healthcare [2], education [3], agriculture [4], industrial automation [5], transportation [6], and many different sectors are leveraging the AI technology to reduce human intervention and automating services. The application of AI in cybersecurity and its effectiveness is worth attention as well [7]. However, the application of AI in physical security is still an under-explored area.…”

Section: Introductionmentioning

confidence: 99%

A Novel Front Door Security (FDS) Algorithm Using GoogleNet-BiLSTM Hybridization

Paula¹,

Faruqui

Mahmud

et al. 2023

IEEE Access

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Security has always been a significant concern since the dawn of human civilization. That is why we build houses to keep ourselves and our belongings safe. And we do not hesitate to spend a lot on front-door locks and install CCTV cameras to monitor security threats. This paper presents an innovative automatic Front Door Security (FDS) algorithm that uses Human Activity Recognition (HAR) to detect four different security threats at the front door from a real-time video feed with 73.18% accuracy. The activities are recognized using an innovative combination of GoogleNet-BiLSTM hybrid network. This network receives the video feed from the CCTV camera and classifies the activities. The proposed algorithm uses this classification to alert any attempts to break the door by kicking, punching, or hitting. Furthermore, the proposed FDS algorithm is effective in detecting gun violence at the front door, which further strengthens security. This Human Activity Recognition (HAR)-based novel FDS algorithm demonstrates the potential of ensuring better safety with 71.49% precision, 68.2% recall, and an F1-score of 0.65.

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AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs

Cited by 18 publications

References 18 publications

Determination of Cyber Security Issues and Awareness Training for University Students

Determination of Cyber Security Issues and Awareness Training for University Students

Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard

A Novel Front Door Security (FDS) Algorithm Using GoogleNet-BiLSTM Hybridization

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