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Utilizing Fine-Tuning of Large Language Models for Generating Synthetic Payloads: Enhancing Web Application Cybersecurity through Innovative Penetration Testing Techniques
| Title: | Utilizing Fine-Tuning of Large Language Models for Generating Synthetic Payloads: Enhancing Web Application Cybersecurity through Innovative Penetration Testing Techniques | Authors: | Ćirković, Stefan   ; Mladenović, Vladimir ; Tomić, Siniša; Drljača, Dalibor; Ristić, Olga |
Issue Date: | 2025 | Publication: | Computers, Materials & Continua | ISSN: | 1546-2226 Computers Materials and Continua / CMC Search Idenfier |
Type: | Article | Collation: | vol. 82 br. 3 str. 4409-4430 | DOI: | 10.32604/cmc.2025.059696 | WoS-ID: | 001444513500001 | Scopus-ID: | 2-s2.0-86000157293 | URI: | https://enauka.gov.rs/handle/123456789/969769 | Project: | Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-66/2024-03/200132] | Metadata source: | (Preuzeto iz CrossRef-a) Ćirković, Stefan | M-category: | 22M22 |
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