References
Alhimale, L., Zedan, H., & Al-Bayatti, A. (2014). The implementation of an intelligent and video-based fall detection system using a neural network. Applied Soft Computing, 18, 59–69. https://doi.org/10.1016/j.asoc.2014.01.024
Banciu, D., & Cirnu, C. E. (2022). AI Ethics and Data Privacy compliance. In: Proceedings of the 2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). https://doi.org/10.1109/ecai54874.2022.9847510
Bali, A., & Bali, N. (2022). Role of artificial intelligence in fast-track drug discovery and vaccine development for COVID-19. In: Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19. Academic Press. pp. 201–229. https://doi.org/10.1016/b978-0-323-90054-6.00006-4
Bayerl, P. S., Bates, L., & Akhgar, B. (2023). Securing the Smart City: Patterns of Public Acceptance for Integrated Technological Solutions. In: Proceedings of the 2023 IEEE International Smart Cities Conference (ISC2). https://doi.org/10.1109/isc257844.2023.10293633
Borah, J., Sarma, K. K., & Gohain, P. J. (2019). All Pervasive Surveillance Techniques and AI-Based Applications. Advances in Multimedia and Interactive Technologies, 54–82. https://doi.org/10.4018/978-1-5225-7811-6.ch004
Brown, S. (2020). The use of drones equipped with AI technology in urban surveillance: challenges and opportunities. Journal of Urban Technology, 12(2), 89–103.
Butt, U. M., Letchmunan, S., Hassan, F. H., et al. (2021). Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. IEEE Access, 9, 47516–47529. https://doi.org/10.1109/access.2021.3068306
Cafiel, H. (2023). Artificial Intelligence applications for safe cities. Available online: https://ebenezertechs.com/inteligencia-artificial-para-ciudades-seguras/ (accessed on 3 April 2024).
Chakrabarty, S., & Engels, D. W. (2020). Secure Smart Cities Framework Using IoT and AI. In: Proceedings of the 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). https://doi.org/10.1109/gcaiot51063.2020.9345912
Chamikara, M. A. P., Bertok, P., Khalil, I., et al. (2020). Privacy Preserving Face Recognition Utilizing Differential Privacy. Computers & Security, 97, 101951. https://doi.org/10.1016/j.cose.2020.101951
Chang, V. (2021). An ethical framework for big data and smart cities. Technological Forecasting and Social Change, 165, 120559. https://doi.org/10.1016/j.techfore.2020.120559
Cousido-Gonzalez, M., & Palacios-Alonso, D. (2022). Artificial Intelligence serving National Security: The Spanish case. In: Proceedings of the 2022 11th Mediterranean Conference on Embedded Computing (MECO). https://doi.org/10.1109/meco55406.2022.9797172
Dakalbab, F., Abu Talib, M., Abu Waraga, O., et al. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342
dialoguemos.ec. (2023). dialoguemos.ec. Available online: https://dialoguemos.ec/2023/12/inseguridad-ciudadana-ecuador-ocupa-el-quinto-lugar-en-el-mundo-con-esa-percepcion/ (accessed on 1 February 2024).
Dworzecki, J., & Nowicka, I. (2021). Artificial intelligence (AI) and ICT-enhanced solutions in the activities of police formations in Poland. Advanced Sciences and Technologies for Security Applications. https://doi.org/10.1007/978-3-030-88972-2
Eldrandaly, K. A., Abdel-Basset, M., & Abdel-Fatah, L. (2019). PTZ-Surveillance coverage based on artificial intelligence for smart cities. International Journal of Information Management, 49, 520–532. https://doi.org/10.1016/j.ijinfomgt.2019.04.01
Fadhel, M. A., Duhaim, A. M., Saihood, A., et al. (2024). Comprehensive systematic review of information fusion methods in smart cities and urban environments. Information Fusion, 107, 102317. https://doi.org/10.1016/j.inffus.2024.102317
Gallup. (2023). Global Law and Order Report. Washington: Gallup, Inc.
García, A. (2021). Ethical impact of AI-driven facial recognition on citizen surveillance. Revista de Ética y Tecnología, 8(2), 45–57.
Ghoniem, N., Hesham, S., Fares, S., et al. (2021). Intelligent Surveillance Systems for Smart Cities: A Systematic Literature Review. Smart Systems: Innovations in Computing. Singapore: Springer. https://doi.org/10.1007/978-981-16-2877-1_14
GI-TOC. (2023). Global Organized Crime Index 2023 (Spanish). Ginebra: Global Initiative Against Transnational Organized Crime.
Gkogkos, G., Patsonakis, C., Drosou, A., et al. (2023). A DLT-based framework for secure IoT infrastructure in smart communities. Technology in Society, 74, 102329. https://doi.org/10.1016/j.techsoc.2023.102329
Gohari, A., Ahmad, A. B., Rahim, R. B. A., et al. (2022). Involvement of Surveillance Drones in Smart Cities: A Systematic Review. IEEE Access, 10, 56611–56628. https://doi.org/10.1109/access.2022.3177904
Gómez, J., Hernández, V., & Cobo, L. (2015). Urban Security System Based on Quadrants. Procedia Computer Science, 52, 636–640. https://doi.org/10.1016/j.procs.2015.05.063
Houichi, M., Jaidi, F., & Bouhoula, A. (2022). Analysis of Smart Cities Security: Challenges and Advancements. In: Proceedings of the 15th International Conference on Security of Information and Networks (SIN). https://doi.org/10.1109/sin56466.2022.9970494
INEGI. (2023). National Urban Public Safety Survey. First quarter of 2023. Ciudad de México: INEGI.
INVAMERS.A.S. (2023). Encuesta Invamer. Bogotá: INVAMERS.A.S.
Johnson, K., & Reyes, C. (2021). Exploring the implications of artificial intelligence. J. Int. Comp. L, 8(315).
Jones, R. (2019). The role of AI-driven video analytics in community safety. Journal of Community Safety, 15(3), 112–125.
Kavitha, A. R., & Gayathri, A. (2022). Human Gait Recognition Systems (HGRS) for Viewpoint Variation in Visual Surveillance System Using Siamese Deep Convolutional Neural Network (SDCNN). In: Proceedings of the International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). https://doi.org/10.1109/icdsaai55433.2022.10028827
Kuzior, A., Postrzednik-Lotko, K., & Pradela, J. (2023). Social Challenges Resulting from the Implementation of Technical Solutions in Smart Cities. In: Proceedings of the 2023 International Conference on Computer and Applications (ICCA). https://doi.org/10.1109/icca59364.2023.10401824
Laufs, J., Borrion, H., & Bradford, B. (2020). Security and the smart city: A systematic review. Sustainable Cities and Society, 55, 102023. https://doi.org/10.1016/j.scs.2020.102023
Martínez, L. (2022). Integrating data for a holistic view of community safety: a big data approach. Journal of Security Analytics, 7(1), 28–41.
Martinez-Balleste, A., Perez-Martinez, P., & Solanas, A. (2013). The pursuit of citizens privacy: a privacy-aware smart city is possible. IEEE Commun. Mag, 51, 136–141. https://doi.org/10.1109/MCOM.2013.6525606
Masakowski, Y. R. (2020). Artificial Intelligence and Global Security. Publishing Limited, Leeds. https://doi.org/10.1108/978-1-78973-811-720201013
Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38. https://doi.org/10.1016/j.artint.2018.07.007
Mkhinini, M. M., Sidibe, A. S., Benali, K., et al. (2023). Image and Signal processing to detect violent content in social media videos. In: Proceedings of the 2023 15th International Conference on Machine Learning and Computing. https://doi.org/10.1145/3587716.3587767
Mohamed, N., Upadhyay, R., Jakka, G., et al. (2023). Framework for the Deployment of Intelligent Smart Cities (ISC) using Artificial Intelligence and Software Networking Technologies. In: Proceedings of the 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). https://doi.org/10.1109/icacite57410.2023.10182730
Muhammad, K., Obaidat, M. S., Hussain, T., et al. (2021). Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions. ACM Computing Surveys, 54(3), 1–33. https://doi.org/10.1145/3444693
Navaneethakrishnan, M., Kalaiyarasi, R., Mohanaprakash, T. A., et al. (2023). (WoExP)Women Express-Artificial Intelligence based women security and Safety System. In: Proceedings of the 2023 International Conference on Inventive Computation Technologies (ICICT). https://doi.org/10.1109/icict57646.2023.10133959
Ndrejaj, A., & Ali, M. (2022). Artificial Intelligence Governance: A Study on the Ethical and Security Issues that Arise. In: Proceedings of the 2022 International Conference on Computing, Electronics & Communications Engineering (ICCECE). https://doi.org/10.1109/iccece55162.2022.9875082
Nguyen, M. T., Truong, L. H., Tran, T. T., et al. (2020). Artificial Intelligence based data processing algorithm for video surveillance to empower industry 3.5. Computers & Industrial Engineering, 148, 106671. https://doi.org/10.1016/j.cie.2020.106671
OCDE. (2021). How COVID-19 will transform science, technology and innovation? Available online: https://www.oecd.org/coronavirus/policy-responses/como-el-covid-19-transformara-la-ciencia-la-tecnologia-y-la-innovacion-047e3689/ (accessed on 10 January 2024).
Olmos, R., Tabik, S., Lamas, A., et al. (2019). A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. Information Fusion, 49, 271–280. https://doi.org/10.1016/j.inffus.2018.11.015
Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). PRISMA 2020 statement: an updated guide for the publication of systematic reviews. Revista Española de Cardiología, 74(9), 790–799. https://doi.org/10.1016/j.recesp.2021.06.016
Park, Y., & Jones-Jang, S. (2022). Surveillance, security, and AI as technological acceptance. AI Soc, 38, 1–12. https://doi.org/10.1007/S00146-021-01331-9
Pazho, A. D, Neff, C., Noghre, G. A., et al. (2023). Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things. IEEE Internet of Things Journal, 10(17), 14940–14951. https://doi.org/10.1109/jiot.2023.3263725
PS&Market Research. (2024). Available online: https://cuadernosdeseguridad.com/2018/07/el-mercado-de-la-videovigilancia-ip-experimentara-un-crecimiento-de-dos-digitos/ (accessed on 10 December 2023).
Rothkrantz, L. (2017). Lip-reading by surveillance cameras. In: Proceedings of the 2017 Smart City Symposium Prague (SCSP). https://doi.org/10.1109/scsp.2017.7973348
Schoenherr, J. R. (2020). Understanding Surveillance Societies: Social Cognition and the Adoption of Surveillance Technologies. In: Proceedings of the 2020 IEEE International Symposium on Technology and Society (ISTAS). https://doi.org/10.1109/istas50296.2020.9462205
Sharma, P., Bamini, J., Vijayalakshmi, S., et al. (2023). Exploring the Implications of IoT Integration in Urban Infrastructures for Sustainable Smart Cities. In: Proceedings of the 2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). https://doi.org/10.1109/icdsaai59313.2023.10452458
Singh, G., Tripathi, A., Pandey, A. B., et al. (2021). IoT Based System for Smart Policing in India. In: Proceedings of the 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). https://doi.org/10.1109/icccnt51525.2021.9579841
Smith, J. (2020). Artificial intelligence applications in crime prevention and predictive analytics: a critical review. International Journal of Crime Prevention and Community Safety, 18(4), 211–225.
Soto, M. E., Riega-Viru, Y., & Oruna Lara, J. C. (2021). Technology and crime prevention: A systematic review of literature. In: Proceedings of the Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). https://doi.org/10.1109/worlds451998.2021.9514035
Sumathi, R. (2022). Artificial Intelligence in Smart City Applications: An overview. In: Proceedings of the 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS). https://doi.org/10.1109/iciccs53718.2022.9788152
Tebes, G., Peppino, D., Becker, P., & Olsina, L. (2020). Process for Systematic Literature Review and Mapping. EJS, 19(2), 94–118.
Thirumalai, R., Sursh Babu, S., Sharan, K. T., et al. (2019). Smart City and Security Issues-IoT Prespectives. In: Proceedings of the 3rd International Conference on Computing Methodologies and Communication (ICCMC). https://doi.org/10.1109/iccmc.2019.8819711
Torfason, I., & Thor, H. (2024). The strategic use of AI in the public sector: A public values analysis of national AI strategies. Government Information Quarterly, 41(1), 101914. https://doi.org/10.1016/j.giq.2024.101914
Wang, Y., Ma, Z., Fang, H., et al. (2021). Pedestrian Recognition System for Smart Security Robot using Pedestrian Re-identification Algorithm. In: Proceedings of the 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). https://doi.org/10.1109/icceai52939.2021.00074
Xia, L., Semirumi, D., & Rezaei, R. (2023). A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy. Sustainable Cities and Society, 98. https://doi.org/10.1016/j.scs.2023.10477
Yao, S., Ardabili, B. R., Danesh Pazho, A., et al. (2023). Real-World Community-in-the-Loop Smart Video Surveillance System. In: Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP). https://doi.org/10.1109/smartcomp58114.2023.00041
Završnik, A. (2016). Introduction: Situating Drones in Surveillance Societies. In: Drones and Unmanned Aerial Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-23760-2_1
Zhang, C. (2021). Intelligent Internet of things service based on artificial intelligence technology. In: Proceedings of the 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). https://doi.org/10.1109/icbaie52039.2021.9390061
Zhao, X., Wang, N., Han, R., et al. (2018). Urban infrastructure safety system based on mobile crowdsensing. International Journal of Disaster Risk Reduction, 27, 427–438. https://doi.org/10.1016/j.ijdrr.2017.11.004
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