Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/140042
Título: DIGITAL THREATS: EFFECTIVE STRATEGIES TO FACE AND COMBAT CYBERCRIME AMEAÇAS DIGITAIS: ESTRATÉGIAS EFICAZES PARA ENFRENTAR E COMBATER O CIBERCRIME AMENAZAS DIGITALES: ESTRATEGIAS EFECTIVAS PARA ENFRENTAR Y COMBATIR EL CIBERCRIMEN*
Autores/as: Miranda Goncalves, Rubén 
Palabras clave: Artificial Intelligence
Cybercrime, Automated Phishing
Digital Security
Skimming
Fecha de publicación: 2024
Publicación seriada: Novos Estudos Jurídicos 
Resumen: Contextualization: this article addresses the digital threats that arise with the use of artificial intelligence. To do so, we will focus on how this technology has been exploited to carry out a variety of cybercrimes such as automated phishing, smishing, intelligent malware, identity theft, cyberbullying, among others. These threats pose significant challenges to digital security globally, affecting individuals, businesses and governments, causing significant economic and social consequences. Objectives: to analyze the digital threats derived from the use of artificial intelligence in cybercrime and to analyze its challenges, risks, consequences proposing a strategy to combat it. Method: methodology based on a combination of theoretical analysis and literature review. Results: through this research, technological, regulatory and educational solutions are proposed to address these threats. The importance of international cooperation and the development of ethical frameworks is underlined; finally, the need for public awareness and training in cybersecurity to decrease the risks of cyber attacks will be highlighted along with the application of other advanced technologies such as blockchain in the protection of digital infrastructures.
URI: https://accedacris.ulpgc.es/handle/10553/140042
DOI: 10.14210/nej.v29n3.p791-820
Fuente: Novos Estudos Juridicos[EISSN 2175-0491],v. 29 (3), p. 791-820, (Diciembre 2024)
Colección:Artículos
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.