Elevating cyber resilience in universities: ai for proactive threat detection
DOI:
https://doi.org/10.63688/6ms8kq69Keywords:
Artificial intelligence, cybersecurity, intrusion detection, higher education, cyber resilienceAbstract
Higher education institutions face increasing cybersecurity challenges due to the rise of cyber threats. In this context, artificial intelligence (AI) has become a key tool for detecting and preventing intrusions. However, its implementation in university environments still presents various barriers. This study aimed to analyze the implementation of AI systems for intrusion detection and their impact on the cyber resilience of universities. To achieve this, surveys were conducted with 200 students and semi-structured interviews with 10 faculty members of the Higher Polytechnic School of Chimborazo (ESPOCH). The surveys assessed the level of knowledge about cybersecurity, the perception of using AI in threat detection, and the feasibility of its implementation. The interviews explored challenges, opportunities, and limitations in this process.
The results showed a positive perception of the integration of AI in university cybersecurity, with high acceptance from both students and faculty. Nevertheless, challenges such as the lack of technological infrastructure, the need for training, and concerns about data privacy were identified. Despite these barriers, the majority of participants considered its implementation feasible in the medium term, provided that investment in resources and specialized training is ensured.
References
Ala-Laurinaho, A., Kurki, A. L., & Abildgaard, J. S. (2017). Supporting Sensemaking to Promote a Systemic View of Organizational Change –Contributions from Activity Theory.Journal of Change Management,17(4), 367–387. https://doi.org/10.1080/14697017.2017.1309566
Cote,C,Kawalek,P.,Jackson,T.:Navegando por la incertidumbre con principios cibernéticos: una revisión del alcance de las estrategias de resiliencia interdisciplinarias para sistemas ferroviarios.IET Intell. Transp. Syst.18(Suppl.1),2814–2826(2024). https://doi.org/10.1049/itr2.12598
Diana Olivia, Khan, Z., & Shetty, S. (2025). Un enfoque de aprendizaje automático e inteligencia artificial explicable para la clasificación de fraudes en seguros.Inteligencia Artificial,28(75), 140–169. https://doi.org/10.4114/intartif.vol28iss75pp140-169
Ebady Manaa, M., Hussain, SM ., Suad A. Alasadi, & Hussein AA Al-Khamees. (2024). Detección de ataques DDoS basados en algoritmos de aprendizaje automático en entornos IoT.Inteligencia Artificial,27(74), https://dialnet.unirioja.es/servlet/articulo?codigo=9742869
Gohar Sargsyan (ed.), Dimitrios Kavallieros (ed.), Nicholas Kolokotronis (ed.) (2022), "Tecnologías y métodos de seguridad para la detección, mitigación e inteligencia avanzadas de amenazas cibernéticas", Boston-Delft: ahora publicado por la editorial, http://dx.doi.org/10.1561/9781680838350
Griffiths, D. (2019), "Resiliencia y transparencia en los sistemas sociales", Kybernetes , Vol. 48 No. 4, pp. 715-726. https://doi.org/10.1108/K-01-2018-0032
Heylighen, F., Beigi, S., & Busseniers, E. (2022). The role of self-maintaining resilient reaction networks in the origin and evolution of life. Biosystems, 219, 104720. https://doi.org/10.1016/j.biosystems.2022.104720
Jayavanth Shenoy, Patrick Grinaway, Shriphani Palakodety (2024), "Inteligencia artificial de alto rendimiento que preserva la privacidad", Boston-Delft: ahora publicado, http://dx.doi.org/10.1561/9781638283454
Kar-Han Tan y Boon Pang Lim (2018), "El renacimiento de la inteligencia artificial: aprendizaje profundo y el camino hacia la inteligencia artificial a nivel humano", APSIPA Transactions on Signal and Information Processing: Vol. 7: No. 1, e6. http://dx.doi.org/10.1017/ATSIP.2018.6
Lionel F. Gonzalez Casanova y Po-Chiang Lin (2023), "Detección de tráfico de red malicioso para DNS sobre HTTPS mediante algoritmos de aprendizaje automático", https://doi.org/10.1080/14697017.2017.1309566
Cote,C,Kawalek,P.,Jackson,T.:Navegando por la incertidumbre con principios cibernéticos: una revisión del alcance de las estrategias de resiliencia interdisciplinarias para sistemas ferroviarios.IET Intell. Transp. Syst.18(Suppl.1),2814–2826(2024). https://doi.org/10.1049/itr2.12598
Diana Olivia, Khan, Z., & Shetty, S. (2025). Un enfoque de aprendizaje automático e inteligencia artificial explicable para la clasificación de fraudes en seguros.Inteligencia Artificial,28(75), 140–169. https://doi.org/10.4114/intartif.vol28iss75pp140-169
Ebady Manaa, M., Hussain, SM ., Suad A. Alasadi, & Hussein AA Al-Khamees. (2024). Detección de ataques DDoS basados en algoritmos de aprendizaje automático en entornos IoT.Inteligencia Artificial,27(74),para inteligencia de amenazas deseguridad informática (Master's thesis, Quito, Ecuador: Universidad Tecnológica Israel). http://repositorio.uisrael.edu.ec/handle/47000/3955
López González, A., Moreno, M., Moreno Román, AC, HadfegFernández, Y., & Cepero Pérez, N. (2024). Ética en Inteligencia Artificial: una aproximación a la Ciberseguridad.Inteligencia Artificial,27(73), 38–54. https://doi.org/10.4114/intartif.vol27iss73pp38-54
Russell Belk (2019), "Máquinas e inteligencia artificial", Journal of Marketing Behavior: vol. 4: n.º 1, págs. 11-30. http://dx.doi.org/10.1561/107.00000058
Samaniego Campoverde, J. E. (2024). SEGURIDAD CIBERNÉTICA: AMENAZAS EMERGENTES Y ESTRATEGIAS DE DEFENSA. Revista SOCIENCYTEC, 3(1). https://doi.org/10.61396/s5hje696
Russell Belk (2019), "Máquinas e inteligencia artificial", Journal of Marketing Behavior: vol. 4: n.º 1, págs. 11-30. http://dx.doi.org/10.1561/107.00000058
Wei Cao, Qinan Wang, Asma Sbeih y FHA Shibly (2020). Marco de aprendizaje inteligente y eficiente basado en inteligencia artificial para plataformas educativas.Inteligencia Artificial,23(66), 112–123. https://doi.org/10.4114/intartif.vol23iss66pp112-123Z
Dallasheh, W., Khalil, A. E., & Masri, A. S. (2024). Personal resilience among novice teachers and teacher-interns in Arab society in Israel: demographic, socio-emotional and educational characteristics. International Journal of Inclusive Education, 1–27. https://doi.org/10.1080/13603116.2024.2303155
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Journal of Multidisciplinary Novel Journeys & Explorations
This work is licensed under a Creative Commons Attribution 4.0 International License.
El artículo se distribuye bajo la Licencia Creative Commons Atribución 4.0 . Salvo que se indique lo contrario, el material publicado asociado se distribuye bajo la misma licencia.
