Siber Güvenlikte Yapay Zekanın Rolü ve Önemi: Bir Derleme
Year 2022,
Volume: 5 Issue: 2, 97 - 105, 25.12.2022
Maad M. Mıjwıl
,
Emre Sadıkoğlu
,
Emine Cengiz
,
Hasibe Candan
Abstract
Yapay zeka teknolojileri, siber güvenlik de dahil olmak üzere birçok alanı kapsamaktadır. Siber güvenliğin temel amacı; bilişim sistemlerini bilgisayar korsanları tarafından gerçekleştirilebilecek yetkisiz erişim, verilerin silinmesi/değiştirilmesi gibi şantajlara karşı korumak ve siber saldırıları önlemektir. Bu çalışma da, yapay zeka teknolojilerinin temel çerçevesi ve kavramları vurgulanarak dijital ortamda siber güvenliğin sağlanması konusunda yapay zekanın rolü ve önemi anlatılmıştır. Sanal dünyada her geçen gün daha da karmaşıklaşan siber tehditler karşısında kullanıcıların mahremiyetini ve verilerini koruyabilmek için yapay zeka yöntemlerini kullanmanın gerekli olduğu sonucuna varılmıştır.
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https://doi.org/10.1007/s00607-021-00941-x
The Role and Essence of Artificial Intelligence in Cybersecurity: A Survey
Year 2022,
Volume: 5 Issue: 2, 97 - 105, 25.12.2022
Maad M. Mıjwıl
,
Emre Sadıkoğlu
,
Emine Cengiz
,
Hasibe Candan
Abstract
Today, artificial intelligence technologies are entering into many areas, including the area of cybersecurity, which is a branch of technology. The role of cybersecurity is to defend systems, networks and data from hacking and threats, preventing unauthorised access, tampering with, or deleting data, or blackmailing users. This article strives to determine the significance and role of artificial intelligence in achieving cybersecurity in the digital environment and seeking to preserve user data and information from the penetration and destruction of systems by highlighting the essential dimensions and concepts of artificial intelligence techniques. In this article, the authors decided to confirm the role of artificial intelligence in conducting cybersecurity for users of social networking sites. This article concluded that it is necessary to think about artificial intelligence techniques in employing them to protect the privacy and data of individuals and users across various digital platforms and in all areas.
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- [28] Nasare, R., Shende, A., Aparajit, R., Kadukar, S., Khachane, P., & Gaurkar, M. “Women Security Safety System using Artificial Intelligence”, International Journal for Research in Applied Science & Engineering Technology, vol. 8, February 2020, http://doi.org/10.22214/ijraset.2020.2088
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- [30] Ahmed S., Abbood Z. A., Farhan H. M., Yasen B. T., Ahmed M. R., Duru A. D., “Speaker Identification Model Based on Deep Neural Networks,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 1, p:108–114, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.012
- [31] Mijwil, M. M., Al-Mistarehi, AH., and Aggarwal K., “The Effectiveness of Utilising Modern Artificial Intelligence Techniques and Initiatives to Combat COVID-19 in South Korea: A Narrative Review,” Asian Journal of Applied Sciences, vol.9, no.5, pp:343-352, November 2021. https://doi.org/10.24203/ajas.v9i5.6753
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- [36] Yi, J., Zhang, H., Mao, J., Chen, Y., Zhong, H., & Wang, Y., “Review on the COVID-19 pandemic prevention and control system based on AI”, Engineering Applications of Artificial Intelligence, 105184, 2022. https://doi.org/10.1016/j.engappai.2022.105184
- [37] Abbas N. N., Ahmed T., Shah S. H. U., Omar M., and Park H. W., “Investigating the applications of artificial intelligence in cyber security,” Scientometrics, vol. 121, pp:1189–1211, September 2019. https://doi.org/10.1007/s11192-019-03222-9
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- [40] Ding, Changxing, and Dacheng Tao. "Trunk-branch ensemble convolutional neural networks for video-based face recognition." IEEE transactions on pattern analysis and machine intelligence 40.4 (2017): 1002-1014.
- [41] Amberkar, Aditya, et al. "Speech recognition using recurrent neural networks." 2018 international conference on current trends towards converging technologies (ICCTCT). IEEE, 2018.
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https://doi.org/10.1007/s00607-021-00941-x