DOI Publisher Details Copy BibTeX Download .bib
{"key"=>"Marulli2025969", "type"=>"Conference paper", "bibtex"=>"@conference{Marulli2025969,\n author = {Marulli, Fiammetta and Campanile, Lelio and Ragucci, Gennaro and Carbone, Sabatino and Bifulco, Marianna},\n title = {Data Generation and Cybersecurity: A Major Opportunity or the Next Nightmare?},\n year = {2025},\n journal = {Proceedings of the 2025 IEEE International Conference on Cyber Security and Resilience, CSR 2025},\n pages = {969 – 974},\n doi = {10.1109/CSR64739.2025.11130069}\n}\n", "author"=>"Marulli, Fiammetta and Campanile, Lelio and Ragucci, Gennaro and Carbone, Sabatino and Bifulco, Marianna", "author_array"=>[{"first"=>"Fiammetta", "last"=>"Marulli", "prefix"=>"", "suffix"=>""}, {"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Gennaro", "last"=>"Ragucci", "prefix"=>"", "suffix"=>""}, {"first"=>"Sabatino", "last"=>"Carbone", "prefix"=>"", "suffix"=>""}, {"first"=>"Marianna", "last"=>"Bifulco", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Fiammetta", "author_0_last"=>"Marulli", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Lelio", "author_1_last"=>"Campanile", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Gennaro", "author_2_last"=>"Ragucci", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Sabatino", "author_3_last"=>"Carbone", "author_3_prefix"=>"", "author_3_suffix"=>"", "author_4_first"=>"Marianna", "author_4_last"=>"Bifulco", "author_4_prefix"=>"", "author_4_suffix"=>"", "title"=>"Data Generation and Cybersecurity: A Major Opportunity or the Next Nightmare?", "year"=>"2025", "journal"=>"Proceedings of the 2025 IEEE International Conference on Cyber Security and Resilience, CSR 2025", "pages"=>"969 – 974", "doi"=>"10.1109/CSR64739.2025.11130069", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016230176&doi=10.1109%2fCSR64739.2025.11130069&partnerID=40&md5=51861cb477d93d70842e98cdff36c623", "abstract"=>"In recent years, the proliferation of synthetic data generation techniques-driven by advances in artificial intelli-gence-has opened new possibilities across a wide range of fields, from healthcare to autonomous systems, by addressing critical data scarcity issues. However, this technological progress also brings with it a growing concern: the dual-use nature of synthetic data. While it offers powerful tools for innovation, it simultaneously introduces significant risks related to information disorder and cybersecurity. As AI systems become increasingly capable of producing highly realistic yet entirely fabricated content, the boundaries between authentic and artificial information blur, making it more difficult to detect manipulation, protect digital infrastructures, and maintain public trust. This work undertakes a preliminary exploration of the evolving nexus between Generative AI, Information Disorder, and Cybersecurity: it aims to investigate the complex interplay among these three and to map their dynamic interactions and reciprocal influences, highlighting both the potential benefits and the looming challenges posed by this evolving landscape. Moreover, it seeks to propose a conceptual framework for assessing these interdependencies through a set of indicative metrics, offering a foundation for future empirical evaluation and strategic response. © 2025 IEEE.", "author_keywords"=>"Cybersecurity; Data Misproduction; Data Pollution; Fake News; Generative AI; Information Disorder; Misleading Information", "keywords"=>"Artificial intelligence; Public works; Cyber security; Data generation; Data misproduction; Data pollution; Fake news; Generation techniques; Generative AI; Information disorder; Misleading informations; Synthetic data generations; Cybersecurity", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 0"}