{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:39:00Z","timestamp":1772908740529,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"U.S. National Science Foundation","doi-asserted-by":"publisher","award":["2319803"],"award-info":[{"award-number":["2319803"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3614550","type":"journal-article","created":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T17:56:23Z","timestamp":1758822983000},"page":"174831-174856","source":"Crossref","is-referenced-by-count":2,"title":["Synthetic Social Engineering Scenario Generation Using LLMs for Awareness-Based Attack Resilience"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4608-4848","authenticated-orcid":false,"given":"Jade","family":"Webb","sequence":"first","affiliation":[{"name":"San Jos&#x00E9; State University, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3028-094X","authenticated-orcid":false,"given":"Faranak","family":"Abri","sequence":"additional","affiliation":[{"name":"San Jos&#x00E9; State University, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sayma","family":"Akther","sequence":"additional","affiliation":[{"name":"San Jos&#x00E9; State University, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"60+ Social Engineering Statistics","year":"2024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CICTN57981.2023.10140957"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/fi11040089"},{"key":"ref4","article-title":"The 12 latest types of social engineering attacks (2024)","author":"Jones","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-023-00768-x"},{"key":"ref6","volume-title":"2023 Spear-phishing Trends","year":"2023"},{"key":"ref7","article-title":"Phishing attack at allegheny health network impacts 8k","author":"McKeon","year":"2022"},{"key":"ref8","article-title":"British engineering giant arup revealed as $25 million deepfake scam victim","author":"Magramo","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3048839"},{"issue":"2","key":"ref10","first-page":"78","article-title":"Social engineering attacks during the COVID-19 pandemic","volume":"2","author":"Sushruth","year":"2021","journal-title":"Social Netw. Comput. Sci."},{"key":"ref11","article-title":"Deepfake danger\u2013how to prevent ai impersonation scams","author":"Espinosa","year":"2024"},{"key":"ref12","volume-title":"2024 State of the Phish","year":"2024"},{"key":"ref13","volume-title":"Understand How Social Media is Fuelling Social Engineering Attacks"},{"key":"ref14","volume-title":"Federal Bureau of Investigation Internet Crime Report 2023","year":"2023"},{"key":"ref15","volume-title":"Cost of a Data Breach Report 2024","year":"2024"},{"key":"ref16","volume-title":"2024 Data Breach Investigations Report","year":"2024"},{"key":"ref17","volume-title":"The Art of Deception: Controlling the Human Element of Security","author":"Mitnick","year":"2002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/app10072221"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICEIEC49280.2020.9152352"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.257"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/EECCIS54468.2022.9902930"},{"key":"ref22","first-page":"68","article-title":"LLM fine-tuning with biomedical open-source data","volume-title":"Proc. Conf. Lab. Eval. Forum (CLEF)","volume":"3740","author":"Anaya"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2024.3392930"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.13052\/jwe1540-9589.2285"},{"key":"ref25","volume-title":"Google Colaboratory","year":"2025"},{"key":"ref26","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"Comput. Res. Repository (CoRR)"},{"key":"ref27","volume-title":"BERT Base Model (uncased)","year":"2025"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.11"},{"key":"ref29","volume-title":"Transformers","year":"2025"},{"key":"ref30","volume-title":"Generation","year":"2025"},{"key":"ref31","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref32","volume-title":"T5-base","year":"2025"},{"key":"ref33","volume-title":"Models","year":"2025"},{"key":"ref34","article-title":"Reinforcement learning from human feedback (RLHF): Empowering ChatGPT with user guidance","author":"Ul Abideen","year":"2023"},{"key":"ref35","article-title":"GPT-3.5 vs. GPT-4: Biggest differences to consider","author":"Kelly","year":"2025"},{"key":"ref36","volume-title":"Common Crawl","year":"2025"},{"key":"ref37","volume-title":"OpenWebText2","year":"2025"},{"key":"ref38","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1057\/9780230226203.2562"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-65945-9_2"},{"key":"ref41","volume-title":"The Llama 3 Herd of Models","year":"2024"},{"key":"ref42","volume-title":"Introducing Llama 3.1: Our Most Capable Models To Date","year":"2024"},{"key":"ref43","volume-title":"Llama-3.1-8b-instruct","year":"2025"},{"key":"ref44","volume-title":"ChatPromptTemplate","year":"2024"},{"key":"ref45","volume-title":"Llama-3.1-8b-instruct","year":"2025"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v8i1.14550"},{"key":"ref47","volume-title":"Tfidfvectorizer","year":"2025"},{"key":"ref48","first-page":"46595","article-title":"Judging LLM-as-a-judge with MT-bench and chatbot arena","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zheng"},{"key":"ref49","volume-title":"Mixtral of Experts","year":"2023"},{"key":"ref50","article-title":"Mixtral of experts","author":"Jiang","year":"2024","journal-title":"arXiv:2401.04088"},{"key":"ref51","volume-title":"Mixtral-8x7b-instruct-v0.1","year":"2025"},{"key":"ref52","first-page":"26874","article-title":"RLAIF vs. RLHF: Scaling reinforcement learning from human feedback with AI feedback","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Lee"},{"key":"ref53","volume-title":"Retrieval Augmented Generation (RAG) for LLMs","year":"2025"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/10820123\/11180053-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11180053.pdf?arnumber=11180053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T05:34:47Z","timestamp":1760506487000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11180053\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3614550","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}