Preemptive Prediction-Based Automated Cyberattack Framework Modeling

Ryu, Sungwook; Kim, Jinsu; Park, Namje; Seo, Yong-Seok

doi:10.3390/sym13050793

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…However, most importantly, it is essential to raise students' awareness of cyber ethics and cyberbullying awareness through education. Through this education, the number of perpetrators, bystanders, and assistants should be reduced so that the incidence of cyberbullying can ultimately be reduced [54][55][56][57][58].…”

Section: Discussionmentioning

confidence: 99%

Can Online Education Programs Solve the Cyberbullying Problem? Educating South Korean Elementary Students in the COVID-19 Era

Choi

Park

2021

Sustainability

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Due to the COVID-19 lockdown, public education has been forced to hold classes online, which increases the time students are on the internet at home. While this situation has significantly reduced the incidence of physical violence between students, cyberbullying has increased sharply, even among younger students. This paper examines a program developed to educate elementary school students on how to best respond to cyberbullying—a social issue that hinders the achievement of sustainable development goals (SDGs). The program was applied to students, and the educational effects were tracked. First, we analyzed education programs in South Korea and the United States that teach students how to cope with cyberbullying, extracted characteristic parts, and developed the online education program in accordance with the current situation in South Korea. Next, we conducted an online education preference survey through an independent sample t-test and one-way ANOVA. As a result, regardless of gender and grade, most study subjects preferred online education. In addition, we conducted a paired sample t-test to determine the prevention and response effects of suggested online education programs. According to the test, the study subjects experienced less cyberbullying and victimization after participating in the online education program. Additional benefits were the students’ increased ability to defend against cyberbullying and a decreased need for defenders and assistants in warding off the cyberbullies.

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Section: Discussionmentioning

confidence: 99%

Can Online Education Programs Solve the Cyberbullying Problem? Educating South Korean Elementary Students in the COVID-19 Era

Choi

Park

2021

Sustainability

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“…Checkpoint, the world's largest developer of security solutions, categorized cybersecurity protection into five categories [7][8]. The first generation was protected by antivirus development in a virus attack on standalone PCs.…”

Section: Evolution Of Cyber Threatsmentioning

confidence: 99%

Study on Trends and Predictions of Convergence in Cybersecurity Technology Using Machine Learning

Ryu¹,

Ryu²,

Kim³

2023

Journal of Internet Technology

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<p>The indiscriminate convergence of technologies makes prediction difficult and can cause many difficulties in technology investment. This makes it difficult to choose capital investment and can induce excessive investment in inefficient technologies. Therefore, analyzing the trend of convergence technology and predicting a highly influential convergence area in the future can induce effective investment, and lead the highly influential technology to achieve great technological development. The purpose of this paper is to analyze technologies that are expected to have high influence in the future through prediction of major fusion areas and to present fusion areas that can be used as indicators of investment. The proposed mechanism selected four prominent journals in the security area and collected metadata to generate a dataset in terms of technological excellence and a dataset in terms of commercialization through patent metadata collection. Thereafter, a process of extracting a main keyword according to a topic from a metadata set by applying a Latent Dirichlet Allocation (LDA) is performed. The extracted topics and keywords are not related to topics and keywords of other years. Therefore, a dynamic topic model (DTM) is applied to analyze the trend of the extracted topics and perform prediction. DTM analyzes the topics in the fusion area classified by LDA and the trend of changing topics linked by year for each topic keyword. Finally, the association of the fusion region is analyzed to derive a fusion region with high influence. These results are believed to be used as an indicator of effective technology investment by providing a high impact area in the convergence area of cybersecurity.</p> <p> </p>

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Design of Unplugged Learning Tools for Cyber Attack and Defence Hacking Principle

Jung¹,

Park²

2021

jkiit

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Preemptive Prediction-Based Automated Cyberattack Framework Modeling

Cited by 4 publications

References 43 publications

Can Online Education Programs Solve the Cyberbullying Problem? Educating South Korean Elementary Students in the COVID-19 Era

Can Online Education Programs Solve the Cyberbullying Problem? Educating South Korean Elementary Students in the COVID-19 Era

Study on Trends and Predictions of Convergence in Cybersecurity Technology Using Machine Learning

Design of Unplugged Learning Tools for Cyber Attack and Defence Hacking Principle

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