{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T10:18:21Z","timestamp":1756635501829,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":6,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,4]]},"DOI":"10.1145\/3700838.3703658","type":"proceedings-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T12:58:12Z","timestamp":1735822692000},"page":"278-279","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["PhishURLDetect: A parameter efficient fine-tuning of LLMs using LoRA for detection of phishing URLs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3956-0679","authenticated-orcid":false,"given":"Irshad","family":"Ali","sequence":"first","affiliation":[{"name":"Computer Science & Engineering, Indian Institute of Technology Ropar, Ropar, Punjab, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9482-8324","authenticated-orcid":false,"given":"Basant","family":"Subba","sequence":"additional","affiliation":[{"name":"Computer Science & Engineering, Indian Institute of Technology Ropar, Ropar, Punjab, India"}]}],"member":"320","published-online":{"date-parts":[[2025,1,4]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"Edward\u00a0J Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang and Weizhu Chen. 2021. Lora: Low-rank adaptation of large language models. arXiv:https:\/\/arXiv.org\/abs\/2106.09685 (2021)."},{"key":"e_1_3_3_1_3_2","unstructured":"Hung Le Quang Pham Doyen Sahoo and Steven\u00a0CH Hoi. 2018. URLNet: Learning a URL representation with deep learning for malicious URL detection. arXiv:https:\/\/arXiv.org\/abs\/1802.03162 (2018)."},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM52596.2021.9653028"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2010.5462216"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Manuel S\u00e1nchez-Paniagua Eduardo\u00a0Fidalgo Fern\u00e1ndez Enrique Alegre Wesam Al-Nabki and Victor Gonzalez-Castro. 2022. Phishing URL detection: A real-case scenario through login URLs. IEEE Access 10 (2022) 42949\u201342960.","DOI":"10.1109\/ACCESS.2022.3168681"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053670"}],"event":{"name":"ICDCN 2025: 26th International Conference on Distributed Computing and Networking","acronym":"ICDCN 2025","location":"Hyderabad India"},"container-title":["Proceedings of the 26th International Conference on Distributed Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3700838.3703658","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3700838.3703658","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:22Z","timestamp":1750295422000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3700838.3703658"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,4]]},"references-count":6,"alternative-id":["10.1145\/3700838.3703658","10.1145\/3700838"],"URL":"https:\/\/doi.org\/10.1145\/3700838.3703658","relation":{},"subject":[],"published":{"date-parts":[[2025,1,4]]},"assertion":[{"value":"2025-01-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}