Technological trends
a focus on citizen security
Introduction: This bibliographic review article is the product of research on new technological trends, focusing on citizen security, carried out at the SIEL research hotbed of the Universidad del Valle-Buga headquarters, Colombia in 2019.
Problem: Investigate the new technological trends aimed at the citizen security sector.
Objective: Identify the new technological trends in the sector of citizen security, its application in the world and expose the current state in Colombia.
Methodology: Documentary review of primary sources of the last 5 years, such as; scientific articles, government pages, laws, press releases and recognized newspapers.
Results: Since MinTIC was created in Colombia, in partnership with different government entities, society in general has benefited from projects in areas such as education, health, housing and security. The modernization of control institutions in Colombia is evident being the security sector one of the most advantageous.
Conclusion: In general terms, sectors such as technology and education are still lagging behind. As for the security sector, there is no doubt the effort and progress in research and development of new technologies present in the vast majority of government entities.
Originality: new technological trends are investigated from the point of view of citizen security in several application scenarios.
Limitations: For the most part, the review focuses on aspects of citizen security, indicating very little the social field
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As the author of the article, I declare that is an original unpublished work exclusively created by me, that it has not been submitted for simultaneous evaluation by another publication and that there is no impediment of any kind for concession of the rights provided for in this contract.
In this sense, I am committed to await the result of the evaluation by the journal Ingeniería Solidaría before considering its submission to another medium; in case the response by that publication is positive, additionally, I am committed to respond for any action involving claims, plagiarism or any other kind of claim that could be made by third parties.
At the same time, as the author or co-author, I declare that I am completely in agreement with the conditions presented in this work and that I cede all patrimonial rights, in other words, regarding reproduction, public communication, distribution, dissemination, transformation, making it available and all forms of exploitation of the work using any medium or procedure, during the term of the legal protection of the work and in every country in the world, to the Universidad Cooperativa de Colombia Press.
Hernández, E., Duque, N., & Moreno, C. J. (2017). Big Data: una exploración de investigaciones, tecnologías y casos de aplicación, TecnoLógicas; 20(39). http://www.scielo.org.co/pdf/teclo/v20n39/v20n39a02.pdf
Sivarajah, U., Mustafa, M., Irani, Z. & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods, Journal of Business Research; 70; 263-286. https://doi.org/10.1016/j.jbusres.2016.08.001
Peña, A. (2017). Modelo para la Caracterización del Delito en la Ciudad de Bogotá, Aplicando Técnicas de Minería de Datos Espaciales. Tesis de Maestría. Universidad Distrital Francisco José de Caldas. Bogotá, Colombia. Recuperado de: http://repository.udistrital.edu.co/bitstream/11349/6519/1/Pe%C3%B1aSuarezAlfonso2017.pdf
Pinto, R., Hernández, M., Pinzón, C., Díaz, D. & García, J. (2018). Inteligencia de fuentes abierta (OSINT) para operaciones de ciberseguridad. Aplicación de OSINT en un contexto colombiano y análisis de sentimientos. Revista Vínculos: Ciencia, Tecnología y Sociedad; 15(2); 195-214. https://revistas.udistrital.edu.co/index.php/vinculos/article/view/13504/14315
Luo, J., Liu, J., Yang, K. & Fu, X. (2019). Big Data research guided by sociological theory: a triadic dialogue among big data analysis, theory, and predictive models. The Journal of Chinese Sociology; 6. https://doi.org/10.1186/s40711-019-0102-4
Elpais.com.uy. (2017). Policía de Chicago usa Big Data para evitar crímenes antes de que ocurran. Periódico el País de Uruguay. Recuperado de: https://www.elpais.com.uy/vida-actual/policia-chicago-big-data-evitar-crimenes-ocurran.html
Prnewswire. (2019). Big Data and Artificial Intelligence to Enhance Homeland Security & Public Safety Technologies. Revista PR Newswire. Recuperado de: https://www.prnewswire.com/news-releases/big-data-and-artificial-intelligence-to-enhance-homeland-security--public-safety-technologies-300819323.html
CONPES 3854. (2016). Documento CONPES 3854. Política Nacional de Seguridad Digital. Biblioteca digital Cámara de Comercio de Bogotá. Recuperado de: http://hdl.handle.net/11520/14856
MinTIC. (2016). Lo que usted debe saber del CONPES de Seguridad Digital. Ministerio de Tecnologías de la Información y las Comunicaciones. Recuperado de: https://www.mintic.gov.co/portal/604/w3-article-15410.html
Semana. (2016). Tecnología para saber dónde y cuándo ocurrirá un crimen. Revista Semana. Recuperado de: https://www.semana.com/tecnologia/articulo/aplicaciones-que-predicen-los-crimenes/498979
Semana. (2018). La ciberdefensa en Colombia, el nuevo frente de la guerra. Revista Semana. Recuperado de: https://www.semana.com/contenidos-editoriales/fuerzas-armadas-marcha-hacia-la-paz/articulo/la-ciberdefensa-en-colombia/574813
Balachandran, B. & Prasad, S. (2017). Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence. Procedia Computer Science; 112; 1112-1122. https://doi.org/10.1016/j.procs.2017.08.138
Stevens, M., Wehrens, R. & De Bont, A. (2018). Conceptualizations of Big Data and their epistemological claims in healthcare: A discourse analysis. Big Data & Society; 5(2), https://doi.org/10.1177/2053951718816727
Zhang, Y., Huang, T. & Bompard, E. (2018). Big data analytics in smart grids: a review. Energy Informatics. https://doi.org/10.1186/s42162-018-0007-5
Gupta, D. & Rani, R. (2018). A study of big data evolution and research challenges. Journal of Information Science; 45(3); 322-340. https://doi.org/10.1177/0165551518789880
Almeida, F. (2017). Benefits, Challenges and Tools of Big Data Management. Journal Of Systems Integration; 8(4). http://dx.doi.org/10.20470/jsi.v8i4.311
Nascio. (2019). State cio Top 10 Priorities. Strategies, Management & Process Solutions. Recuperado de: https://www.nascio.org/Portals/0/Publications/Documents/2019/NASCIO_Top10_lettersize.pdf
Emcien. (2018). Big Data for Public Safety: 4 use cases for intelligence and law enforcement agencies to leverage Big Data for crime prevention. Recuperado de: http://emcien.com/res_guides/Big-Data-for-Public-Safety.pdf
Shihua, L. (2017). Shenzhen Uses ‘Video + Big Data’ for Safer City. Huawei. Recuperado de: https://e.huawei.com/en/publications/global/ict_insights/201711060837/public/201712280841
Hodge, T. (2018). Application of Big Data Analytics to Support Homeland Security Investigations Targeting Human Smuggling Networks. Thesis. Naval Postgraduate School, Monterey, California. Recuperado de: https://www.hsdl.org/?view&did=811315
Van Puyvelde, D., Coulthart, S. & Hossain, M. (2017). Beyond the buzzword: big data and national security decision-making. International Affairs; 93(6); 1397–1416. https://doi.org/10.1093/ia/iix184
Favaretto, M., De Clercq, E. & Elger, B. (2019). Big Data and discrimination: perils, promises and solutions. A systematic review. Journal of Big Data; 6. https://doi.org/10.1186/s40537-019-0177-4
Parlamento Europeo. (2017). Implicaciones de los macrodatos en los derechos fundamentales. Resolución del Parlamento Europeo, de 14 de marzo de 2017, sobre las implicaciones de los macrodatos en los derechos fundamentales: privacidad, protección de datos, no discriminación, seguridad y aplicación de la ley (2016/2225(INI)). Recuperado de: http://www.europarl.europa.eu/doceo/document/TA-8-2017-0076_ES.pdf
Castañeda, J., Mora, L., Botero, C., Toledo, A. & Labarthe, S. (2016). Big Data: Un aporte para la discusión de la política pública en Colombia. Recuperado de: https://karisma.org.co/descargar/big-data-un-aporte-para-ladiscusion-de-la-politica-publica-en-colombia/
Majaj, N. & Pelli, D. (2018). Deep learning-Using machine learning to study biological vision. Journal of Vision; 18(2). https://doi.org/10.1167/18.13.2
Osisanwo F.Y., Akinsola J.E.T., Awodele O., Hinmikaiye J. O., Olakanmi O., & Akinjobi J. (2017). Supervised Machine Learning Algorithms: Classification and Comparison. International Journal of Computer Trends and Technology (IJCTT); 48(3). https://www.ijcttjournal.org/2017/Volume48/number-3/IJCTT-V48P126.pdf
Shalev-Shwartz, S. & Ben-David, S. (2014). Understanding Machine Learning: From Theory to Algorithms (libro). Cambridge University Press. United States of America. ISBN 978-1-107-05713-5. Recuperado de: https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf
Sarker, I., Kayes, A. & Watters, P. (2019). Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage. Journal of Big Data, https://doi.org/10.1186/s40537-019-0219-y
Das, S., Dey, A., Pal, A. & Roy, N. (2015). Applications of Artificial Intelligence in Machine Learning: Review and Prospect. International Journal of Computer Applications; 115(9). https://pdfs.semanticscholar.org/6850/8ffc9f75462fd31de620d03093b214734011.pdf
Pellerin, C. (2017). Project Maven Industry Day Pursues Artificial Intelligence for DoD Challenges. U.S. Dept of Defense. Recuperado de: https://www.defense.gov/Newsroom/News/Article/Article/1356172/project-maven-industry-day-pursues-artificial-intelligence-for-dod-challenges/
CRS. (2019). Artificial Intelligence and National Security. Congressional Research Service. R45178, Version 4. Recuperado de: https://fas.org/sgp/crs/natsec/R45178.pdf
Goldstein, P. (2019). How Pattern Recognition and Machine Learning Helps Public Safety Departments. StateTech Magazine. Recuperado de: https://statetechmagazine.com/article/2019/05/how-pattern-recognition-and-machine-learning-helps-public-safety-departments-perfcon
Sisak, M. (2019). NYPD says its new software is helping analysts track crime patterns more quickly. Los Ángeles Times. Recuperado de: https://www.latimes.com/nation/la-na-new-york-computer-policing-20190310-story.html
Hatleback, E. (2018). The protoscience of cybersecurity. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology; 15(1); 5-12. https://doi.org/10.1177/1548512917737635
Cisco. (2019). Defensa contra las amenazas más graves de la actualidad. Informe sobre amenazas. Febrero de 2019. Cisco. Recuperado de: https://www.cisco.com/c/dam/global/es_es/assets/pdfs/es_cybersecurityseries_thrt_01_0219_r2-2.pdf
Subroto, A. & Apriyana, A. (2019). Cyber risk prediction through social media big data analytics and statistical machine learning. Journal of Big Data; 6. https://doi.org/10.1186/s40537-019-0216-1
Presidencia de Colombia. (2017). Prevención cibernetica. Recuperado de: http://especiales.presidencia.gov.co/Documents/20170601-ataques-ciberneticos/sin-ciber-ataques.html
AGCS. (2019). Allianz Risk Barometer 2019: Cyber joins business interruption as a leading global risk for companies for first time. Allianz Global Corporate & Specialty. Recuperado de: https://www.agcs.allianz.com/news-and-insights/news/allianz-risk-barometer-2019.html
Caivirtual. (2017a). Costos del Cibercrimen en Colombia 2016-2017. Centro cibernético policial. Recuperado de: https://caivirtual.policia.gov.co/sites/default/files/costos_del_cibercrimen_v4.pdf
Portafolio. (2019a). El secuestro de información desangra a las empresas del país. Revista Portafolio. Recuperado de: https://www.portafolio.co/negocios/empresas/ciberataques-a-las-empresas-en-colombia-525729
Deloitte. (2019). Ciber Riesgos y Seguridad de la Información en América Latina & Caribe Tendencias 2019. Reporte Colombia. Deloitte. https://www2.deloitte.com/content/dam/Deloitte/co/Documents/risk/Cyber%20Survey%20LATAM%20-%20Colombia%20v2.pdf
El Tiempo. (2019). Cibercriminales ponen la mira en sectores de consumo masivo. Periódico El Tiempo. Recuperado de: https://www.eltiempo.com/tecnosfera/novedades-tecnologia/sectores-de-consumo-masivo-en-la-mira-de-cibercriminales-386806
Semana (2019). Así está Colombia en el ranking de ciberseguridad mundial. Revista Semana. Recuperado de: https://www.semana.com/nacion/articulo/asi-esta-colombia-en-el-ranking-de-ciberseguridad-mundial/601118
Khraisat, A., Gondal, I., Vamplew, P. & Kamruzzaman, J. (2019). Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity; 2(20). https://doi.org/10.1186/s42400-019-0038-7
Hu, Y., Yang, A., Li, H., Sun, Y. & Sun, L. (2018). A survey of intrusion detection on industrial control systems. International Journal of Distributed Sensor Networks; 14(8). https://doi.org/10.1177/1550147718794615
El Espectador. (2018). Seguridad informática, una guerra de robots. (2018). Periódico El Espectador. Recuperado de: https://www.elespectador.com/tecnologia/seguridad-informatica-una-guerra-de-robots-articulo-742986
Rodríguez, P. & Cordero, A. (2018). Ciberseguridad: los acuerdos de cooperación para el tratamiento de las amenazas en el ciberespacio. El caso de Estados Unidos y China. Tesis. Universidad de la Salle, Facultad de Ciencias Económicas y Sociales, Bogotá, Colombia. Recuperado de: http://repository.lasalle.edu.co/bitstream/handle/10185/25117/64122001_2018.pdf?sequence=1&isAllowed=y
Caivirtual. (2017b). Amenazas del Cibercrimen en Colombia 2016-2017. Centro cibernético policial. Recuperado de: https://caivirtual.policia.gov.co/sites/default/files/informe_amenazas_de_cibercrimen_en_colombia_2016_-_2017_1.pdf
Portafolio. (2019b). Colombia y Chile, con memorando de ciberseguridad. Revista Portafolio. Recuperado de: https://www.portafolio.co/negocios/colombia-y-chile-con-memorando-de-ciberseguridad-527823
Presidencia de Colombia. (2018). Convenio sobre la Ciberdelincuencia-Ley 1928 del 24/jul/2018. Colombia aprueba la adhesión a convenio Budapest o convención de Europa sobre cibercriminalidad.
http://es.presidencia.gov.co/normativa/normativa/LEY%201928%20DEL%2024%20DE%20JULIO%20DE%202018.pdf
Caivirtual. (2017c). Balance cibercrimen en Colombia 2017. (2017). Centro cibernético policial. Recuperado de: https://caivirtual.policia.gov.co/sites/default/files/informe_cibercrimen_201217_1_1_0.pdf
Catota, F., Morgan, M. & Sicker, D. (2019). Cybersecurity education in a developing nation: the Ecuadorian environment. Journal of Cybersecurity; 5(1). https://doi.org/10.1093/cybsec/tyz001
Presidencia de Colombia. (2019). Gobierno y Cisco firmaron acuerdo para la innovación y transformación digital de Colombia. Recuperado de: https://id.presidencia.gov.co/Paginas/prensa/2019/190508-Gobierno-y-Cisco-firmaron-acuerdo-para-la-innovacion-y-transformacion-digital-de-Colombia.aspx
Rosser, G. & Cheng, T. (2019). Improving the Robustness and Accuracy of Crime Prediction with the Self-Exciting Point Process Through Isotropic Triggering. Applied Spatial Analysis and Policy; 12(1); 5–25. https://doi.org/10.1007/s12061-016-9198-y
Coppola, F. (2018). Mapping the Brain to Predict Antisocial Behaviour: New Frontiers in Neurocriminology, ‘New’ Challenges for Criminal Justice. UCL Journal of Law and Jurisprudence – Special. Issue 1, Article 5. DOI:10.14324/111.2052-1871.099
Mohler, G. & Porter, M. (2018). Rotational grid, PAI-maximizing crime forecasts. Statistical Analysis and Data Mining: The ASA Data Science Journal; 11(5); 227-236. https://docs.wixstatic.com/ugd/9226cc_0a3ab606687b47788f7fdb3926d0bfaf.pdf
Saltos, G. & Cocea, M. (2017). An Exploration of Crime Prediction Using Data Mining on Open Data. International Journal of Information Technology & Decision Making; 16(5); 1155-118.
Smith, M. (2018). Can we predict when and where a crime will take place? BBC News. Recuperado de: https://www.bbc.com/news/business-46017239
IBM. (s.f.). Crime Prediction and Prevention. IBM Public Safety and Policing. Recuperado de: https://www.ibm.com/industries/government/public-safety/crime-prediction-prevention
BBC. (2018). El ladrón que fue atrapado en Italia gracias a un nuevo algoritmo para predecir delitos inventado en Nápoles. BBC News. Recuperado de: https://www.bbc.com. Recuperado de: https://www.bbc.com/mundo/noticias-46261759
Gurney, K. (2015). Using Data to Predict and Prevent Crime in LatAm. Revista Insight Crime. Recuperado de: https://www.insightcrime.org/news/analysis/using-data-to-predict-and-prevent-crime-in-latam/
Unesco. (2018). Cómo los datos y las TIC pueden ser eficaces aliados para prevenir la violencia juvenil en los países del norte de Centroamérica. Recuperado de: http://www.unesco.org/new/fileadmin/MULTIMEDIA/FIELD/Montevideo/pdf/PolicyPapers-NorteCentroAmerica-TICViolenciaJovenes-web-.pdf
Bogotá. (2019). Bogotá desarrollará un método de predicción de delitos. Alcaldía de Bogotá. Recuperado de: https://bogota.gov.co/mi-ciudad/seguridad/nuevo-metodo-de-prediccion-de-delitos-sera-desarrollado-en-bogota
SCJ. (2019). Bogotá, pionera en el país en desarrollar un método de predicción de delitos. Secretaría Distrital de Seguridad, Convivencia y Justicia. Recuperado de: https://scj.gov.co/es/noticias/bogot%C3%A1-pionera-pa%C3%ADs-desarrollar-m%C3%A9todo-predicci%C3%B3n-delitos
Armour, C. & Ross, J. (2017). The Health and Well-Being of Military Drone Operators and Intelligence Analysts: A Systematic Review. Military Psychology; 29(2); 83–98. https://doi.org/10.1037/mil0000149
Revista Policía Nacional. (2018). Nº. 317 Cuarta Edición Octubre-Diciembre 2018. ISSN 0122-0411. Recuperado de: https://www.policia.gov.co/sites/default/files/publicaciones-institucionales/revista-policia-nacional-edicion-317.pdf
Rodríguez, J. (2019). Entran en operación los drones para vigilancia en Bogotá. RCN Radio. Recuperado de: https://www.rcnradio.com/bogota/entran-en-operacion-los-drones-para-vigilancia-en-bogota
Deschênes, P. (2019). The Rise of the Drones: Technological Development of Miniaturised Weapons and the Challenges for the Royal Canadian Navy. Canadian Military Journal; 19(2). http://www.journal.forces.gc.ca/Vol19/No2/PDF/CMJ192Ep51.pdf
SIC. (2017). Boletín Tecnológico Nanosatélites. Centro de Información Tecnológica y Apoyo a la Gestión de la Propiedad Industrial (CIGEPI). Superintendencia de Industria y Comercio. Recuperado de: http://www.sic.gov.co/sites/default/files/files/Propiedad%20Industrial/Boletines_Tecnologicos/Boletin_Nanosatelites.pdf
FACSAT-2 (2019). Así avanza el ensamblaje del prototipo del FACSAT-2. Fuerza Aérea Colombiana. Recuperado de: https://www.fac.mil.co/as%C3%AD-avanza-el-ensamblaje-del-prototipo-del-facsat-2
Mohamad, M & Hassan, W. (2019). Current research on Internet of Things (IoT) security: A survey. Computer Networks; (148); 283-294. https://doi.org/10.1016/j.comnet.2018.11.025
Chaabouni, N., Mosbah, M., Zemmari, A., et al. (2019). Network Intrusion Detection for IoT Security Based on Learning Techniques. IEEE Communications Surveys & Tutorials. Vol: 21, Issue: 3. DOI: 10.1109/COMST.2019.2896380
Alban, N. (s.f). El Internet de las Cosas para un Gobierno Inteligente. Alianza CAOBA. Recuperado de: http://alianzacaoba.co/inicio/mas-noticias-big-data-y-data-analytics-en-colombia-y-el-mundo/internet-las-cosas-gobierno-inteligente/
Joshi, N. (2019). Leveraging AI And IoT For Citizen Security In Smart Cities. Revista Forbes. Recuperado de: https://www.forbes.com/sites/cognitiveworld/2019/07/09/leveraging-ai-and-iot-for-citizen-security-in-smart-cities/#455f82eae151
Mohammed, H & Qayyum, M. (2017). Internet of Things: A Study on Security and Privacy Threats. DOI: 10.1109/Anti-Cybercrime.2017.7905270
Patel, H. (2017). IoT Needs Better Security. ISACA Journal, Vol 3. https://www.isaca.org/Journal/archives/2017/Volume-3/Pages/iot-needs-better-security.aspx
Boeckl, K., Fagan, M., Fisher, W. et al. (2019). Considerations for Managing Internet of Things (IoT) Cybersecurity and Privacy Risks. National Institute of Standards and Technology. NISTIR 8228. https://doi.org/10.6028/NIST.IR.8228
Garamone, J. (2018). DoD Studying Implications of Wearable Devices Giving Too Much Info. U.S. Department of Defense. Recuperado de: https://dod.defense.gov/News/Article/Article/1426579/dod-studying-implications-of-wearable-devices-giving-too-much-info
NISTIR 8200. (2018). Interagency Report on the Status of International Cybersecurity Standardization for the Internet of Things. (IoT). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.8200
Telefónica. (2019). Telefónica velará por la seguridad de Internet de las Cosas con una nueva unidad de ciberseguridad IoT. Recuperado de: https://www.telefonica.com/es/web/sala-de-prensa/-/telefonica-velara-por-la-seguridad-de-internet-de-las-cosas-con-una-nueva-unidad-de-ciberseguridad-iot
