Siber Güvenlikte Yapay Zekanın Rolü ve Önemi: Bir Derleme
Yıl 2022,
Cilt: 5 Sayı: 2, 97 - 105, 25.12.2022
Maad M. Mıjwıl
,
Emre Sadıkoğlu
,
Emine Cengiz
,
Hasibe Candan
Öz
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.
Kaynakça
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https://doi.org/10.1007/s00607-021-00941-x
The Role and Essence of Artificial Intelligence in Cybersecurity: A Survey
Yıl 2022,
Cilt: 5 Sayı: 2, 97 - 105, 25.12.2022
Maad M. Mıjwıl
,
Emre Sadıkoğlu
,
Emine Cengiz
,
Hasibe Candan
Öz
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.
Kaynakça
- [1] David L. O., Nwulu N. I., Aigbavboa C. O., and depoju O. O., “Integrating fourth industrial revolution (4IR) technologies into the water, energy & food nexus for sustainable security: A bibliometric analysis,” Journal of Cleaner Production, vol63, pp:132522, August 2022. https://doi.org/10.1016/j.jclepro.2022.132522
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- [3] Perwej Y., Abbas S. Q., Dixit J. P., Akhtar N., and Jaiswal A. K., “A Systematic Literature Review on the Cyber Security,” International Journal of scientific research and management, vol. 9, no.12, pp:669-710, 2021. https://doi.org/10.18535/ijsrm/v9i12.ec04
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- [14] Qamar R., Bajao N., Suwarno I., and Jokhio F. A., “Survey on Generative Adversarial Behavior in Artificial Neural Tasks,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 2, pp: 83–94, March 2022. https://doi.org/10.52866/ijcsm.2022.02.01.009
- [15] Mijwil, M. M., and Shukur B. S., “A Scoping Review of Machine Learning Techniques and Their Utilisation in Predicting Heart Diseases,” Ibn AL- Haitham Journal For Pure and Applied Sciences, vol. 35, no.3, pp: 175-189, July 2022. https://doi.org/10.30526/35.3.2813
- [16] Li Y., Xia J., Zhang S., Yan J., Ai X., and Dai K., “An efficient intrusion detection system based on support vector machines and gradually feature removal method,” Expert Systems with Applications, vol.39, no.1, pp:424-430, January 2012. https://doi.org/10.1016/j.eswa.2011.07.032
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- [19] Ramadan R. A., Aboshosha B. W., Alshudukhi J. S., Alzahrani A. J., El-Sayed A., and Dessouky M. M., “Cybersecurity and Countermeasures at the Time of Pandemic,” Journal of Advanced Transportation, vol.2021, no.6627264, pp:1-19, February 2021. https://doi.org/10.1155/2021/6627264
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- [22] Eghtesadi M. and Florea A., “Facebook, Instagram, Reddit and TikTok: a proposal for health authorities to integrate popular social media platforms in contingency planning amid a global pandemic outbreak,” Canadian Journal of Public Health, vol. 111, pp:389-391, June 2020. https://doi.org/10.17269/s41997-020-00343-0
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- [27] Mijwil M. M., Aggarwal K., Doshi R., Hiran K. K., Sundaravadivazhagan B. “Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective,” Asian Journal of Applied Sciences, vol.10, no.3, pp:224-231, July 2022. https://doi.org/10.24203/ajas.v10i3.6998
- [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
- [29] Dwivedi Y. K., Hughes D. L., Coombs C., Constantiou I., Duan Y., et al., “Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life,” International Journal of Information Management, vol.55, pp:102211, December 2020. https://doi.org/10.1016/j.ijinfomgt.2020.102211
- [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
- [32] Palaniappan A., Dave U., and Gosine B., “Comparing South Korea and Italy’s healthcare systems and initiatives to combat COVID-19,” Revista Panamericana de Salud Pública, vol.44, pp:1-5, April 2020. https://doi.org/10.26633/RPSP.2020.53
- [33] Pal, R. “Applications Of Artificial Intelligence in Company Management, E-Commerce, And Finance: A Review”, International Journal of Multidisciplinary Educational Research, vol.11, February: 2022. http://ijmer.in.doi./2022/11.02.39
- [34] Mijwil, M. M., Abttan R. A., and Alkhazraji A., “Artificial intelligence for COVID-19: A Short Article,” Asian Journal of Pharmacy, Nursing and Medical Sciences, vol.10, no.1, pp:1-6, May 2022. https://doi.org/10.24203/ajpnms.v10i1.6961
- [35] Ilyas, M., Rehman, H., & Naït-Ali, A., “Detection of covid-19 from chest x-ray images using artificial intelligence: An early review”, arXiv preprint arXiv:2004.05436, 2020.
- [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
- [38] Chandrasekhar A. M. and Raghuveer K., “Confederation of FCM clustering, ANN and SVM techniques to implement hybrid NIDS using corrected KDD cup 99 dataset,” In Proceedings of International Conference on Communication and Signal Processing, 03-05 April 2014, pp:1-6, Melmaruvathur, India. https://doi.org/10.1109/ICCSP.2014.6949927
- [39] Sudiro, Sunny Arief, and Saepul Lukman. "Minutiae matching algorithm using artificial neural network for fingerprint recognition." 2015 3rd international conference on artificial intelligence, modelling and simulation (AIMS). IEEE, 2015.
- [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