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McMahon, R. Williams, M. El, S. Samtani, M. Patton, and H. Chen, \u201cAssessing medical device vulnerabilities on the internet of things,\u201d 2017 IEEE international conference on intelligence and security informatics (ISI), pp.176-178, IEEE, 2017. 10.1109\/isi.2017.8004903","DOI":"10.1109\/ISI.2017.8004903"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] Y.H. Hwang, \u201cIot security & privacy: threats and challenges,\u201d Proc. 1st ACM workshop on IoT privacy, trust, and security, pp.1-1, 2015. 10.1145\/2732209.2732216","DOI":"10.1145\/2732209.2732216"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] N.S. Abouzakhar, A. Jones, and O. Angelopoulou, \u201cInternet of things security: A review of risks and threats to healthcare sector,\u201d 2017 IEEE international conference on Internet of Things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData), pp.373-378, IEEE, 2017. 10.1109\/ithings-greencom-cpscom-smartdata.2017.62","DOI":"10.1109\/iThings-GreenCom-CPSCom-SmartData.2017.62"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] M. You, Y. Kim, J. Kim, M. Seo, S. Son, S. Shin, and S. Lee, \u201cFuzzdocs: An automated security evaluation framework for iot,\u201d IEEE Access, vol.10, pp.102406-102420, 2022. 10.1109\/access.2022.3208146","DOI":"10.1109\/ACCESS.2022.3208146"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] C. Zhang, Y. Wang, and L. Wang, \u201cFirmware fuzzing: The state of the art,\u201d Proc. 12th Asia-Pacific Symposium on Internetware, pp.110-115, 2020. 10.1145\/3457913.3457934","DOI":"10.1145\/3457913.3457934"},{"key":"6","unstructured":"[6] \u201cboofuzz: Network protocol fuzzing for humans,\u201d https:\/\/boofuzz.readthedocs.io\/en\/stable\/, 2017."},{"key":"7","unstructured":"[7] \u201cDoona,\u201d https:\/\/github.com\/wireghoul\/doona, 2019."},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] J. Chen, W. Diao, Q. Zhao, C. Zuo, Z. Lin, X.F. Wang, W.C. Lau, M. Sun, R. Yang, and K. Zhang, \u201cIotfuzzer: Discovering memory corruptions in iot through app-based fuzzing,\u201d NDSS, 2018. 10.14722\/ndss.2018.23159","DOI":"10.14722\/ndss.2018.23159"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] X. Feng, R. Sun, X. Zhu, M. Xue, S. Wen, D. Liu, S. Nepal, and Y. Xiang, \u201cSnipuzz: Black-box fuzzing of iot firmware via message snippet inference,\u201d Proc. 2021 ACM SIGSAC Conference on Computer and Communications Security, pp.337-350, 2021. 10.1145\/3460120.3484543","DOI":"10.1145\/3460120.3484543"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] J. Wang, B. Chen, L. Wei, and Y. Liu, \u201cSkyfire: Data-driven seed generation for fuzzing,\u201d 2017 IEEE Symposium on Security and Privacy (SP), pp.579-594, IEEE, 2017. 10.1109\/sp.2017.23","DOI":"10.1109\/SP.2017.23"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] J. Huang, S.S. Gu, L. Hou, Y. Wu, X. Wang, H. Yu, and J. Han, \u201cLarge language models can self-improve,\u201d arXiv preprint arXiv: 2210.11610, 2022.","DOI":"10.18653\/v1\/2023.emnlp-main.67"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] Y. Deng, C.S. Xia, H. Peng, C. Yang, and L. Zhang, \u201cLarge language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,\u201d Proc. 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp.423-435, 2023. 10.1145\/3597926.3598067","DOI":"10.1145\/3597926.3598067"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] H. Nakanishi, K. Hisafuru, K. Hasegawa, S. Hidano, K. Fukushima, K. Hashimoto, and N. Togawa, \u201cInitial seeds generation using llm for iot device fuzzing,\u201d 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), pp.5-10, IEEE, 2024. 10.1109\/iotsms62296.2024.10710191","DOI":"10.1109\/IOTSMS62296.2024.10710191"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] A. Hameed and A. Alomary, \u201cSecurity issues in iot: A survey,\u201d 2019 International conference on innovation and intelligence for informatics, computing, and technologies (3ICT), pp.1-5, IEEE, 2019. 10.1109\/3ict.2019.8910320","DOI":"10.1109\/3ICT.2019.8910320"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] M. B\u00f6hme, C. Cadar, and A. Roychoudhury, \u201cFuzzing: Challenges and reflections,\u201d IEEE Softw., vol.38, no.3, pp.79-86, 2020. 10.1109\/ms.2020.3016773","DOI":"10.1109\/MS.2020.3016773"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] H. Liang, X. Pei, X. Jia, W. Shen, and J. Zhang, \u201cFuzzing: State of the art,\u201d IEEE Trans. Rel., vol.67, no.3, pp.1199-1218, 2018. 10.1109\/tr.2018.2834476","DOI":"10.1109\/TR.2018.2834476"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] X. Zhu, S. Wen, S. Camtepe, and Y. Xiang, \u201cFuzzing: a survey for roadmap,\u201d ACM Computing Surveys (CSUR), vol.54, no.11s, pp.1-36, 2022. 10.1145\/3512345","DOI":"10.1145\/3512345"},{"key":"18","unstructured":"[18] A. Desnos and G. Gueguen, \u201cAndroguard documentation,\u201d 2018."},{"key":"19","unstructured":"[19] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A.N. Gomez, \u0141. Kaiser, and I. Polosukhin, \u201cAttention is all you need,\u201d Advances in neural information processing systems, vol.30, 2017."},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] Y. Xu, H. Jia, L. Chen, X. Wang, Z. Zeng, Y. Wang, Q. Gao, J. Wang, W. Ye, S. Zhang, and Z. Wu, \u201cIsc4dgf: Enhancing directed grey-box fuzzing with llm-driven initial seed corpus generation,\u201d arXiv preprint arXiv:2409.14329, 2024.","DOI":"10.1007\/s11390-025-4745-0"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] G. Black, V. Mathew Vaidyan, and G. Comert, \u201cEvaluating large language models for enhanced fuzzing: An analysis framework for llm-driven seed generation,\u201d IEEE Access, vol.12, pp.156065-156081, 2024. 10.1109\/access.2024.3484947","DOI":"10.1109\/ACCESS.2024.3484947"},{"key":"22","unstructured":"[22] W. Shi, Y. Zhang, X. Xing, and J. Xu, \u201cHarnessing large language models for seed generation in greybox fuzzing,\u201d arXiv preprint arXiv:2411.18143, 2024."},{"key":"23","unstructured":"[23] Y. Oliinyk, M. Scott, R. Tsang, C. Fang, and H. Homayoun, \u201cFuzzing busybox: Leveraging llm and crash reuse for embedded bug unearthing,\u201d arXiv preprint arXiv:2403.03897, 2024."},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] B. Zhao, S. Ji, J. Xu, Y. Tian, Q. Wei, Q. Wang, C. Lyu, X. Zhang, C. Lin, J. Wu, and R. Beyah, \u201cA large-scale empirical analysis of the vulnerabilities introduced by third-party components in iot firmware,\u201d Proc. 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, pp.442-454, 2022. 10.1145\/3533767.3534366","DOI":"10.1145\/3533767.3534366"},{"key":"25","unstructured":"[25] \u201cChat templates.\u201d https:\/\/huggingface.co\/docs\/transformers\/main\/chat_templating"},{"key":"26","unstructured":"[26] \u201cBusybox - the swiss army knife of embedded linux.\u201d https:\/\/busybox.net\/downloads\/BusyBox.html"},{"key":"27","unstructured":"[27] U. Lamping and E. Warnicke, \u201cWireshark user\u2019s guide,\u201d Interface, vol.4, no.6, p.1, 2004."},{"key":"28","unstructured":"[28] M. Bach-Nutman, \u201cUnderstanding the top 10 owasp vulnerabilities,\u201d arXiv preprint arXiv:2012.09960, 2020."},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] H. Nakanishi, K. Hasegawa, S. Hidano, K. Fukushima, K. Hashimoto, and N. Togawa, \u201cPerformance comparison of the llm models on llm-based seed generation method for iot device fuzzing,\u201d International Conference on Consumer Electronics (ICCE), 2025. 10.1109\/icce63647.2025.10929957","DOI":"10.1109\/ICCE63647.2025.10929957"},{"key":"30","unstructured":"[30] J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q.V. Le, D. Zhou, et al., \u201cChain-of-thought prompting elicits reasoning in large language models,\u201d Advances in neural information processing systems, vol.35, pp.24824-24837, 2022."},{"key":"31","unstructured":"[31] \u201cTapo l531e smart wi-fi light bulb, multicolor.\u201d https:\/\/www.tp-link.com\/us\/home-networking\/smart-bulb\/tapo-l531e\/"},{"key":"32","unstructured":"[32] \u201cSwitchbot color bulb.\u201d https:\/\/www.switch-bot.com\/products\/switchbot-color-bulb"},{"key":"33","unstructured":"[33] \u201cIndoor\/outdoor 5mp h.265 wdr poe ir fixed turret network camera.\u201d https:\/\/www.trendnet.com\/products\/5mp-turret-camera\/indoor-outdoor-5mp-h265-wdr-poe-ir-fixed-turret-network-camera-TV-IP1515PI"},{"key":"34","unstructured":"[34] \u201cTapo c100 v5.6 home security wi-fi camera.\u201d https:\/\/www.tp-link.com\/us\/home-networking\/cloud-camera\/tapo-c100\/"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] G.J. Myers, C. Sandler, and T. Badgett, The art of software testing, John Wiley & Sons, 2011.","DOI":"10.1002\/9781119202486"},{"key":"36","doi-asserted-by":"publisher","unstructured":"[36] J.D. Day and H. Zimmermann, \u201cThe osi reference model,\u201d Proc. IEEE, vol.71, no.12, pp.1334-1340, 1983. 10.1109\/proc.1983.12775","DOI":"10.1109\/PROC.1983.12775"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E109.D\/1\/E109.D_2024EDP7305\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T03:25:48Z","timestamp":1767410748000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E109.D\/1\/E109.D_2024EDP7305\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,1]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2024edp7305","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,1]]},"article-number":"2024EDP7305"}}