{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T09:33:44Z","timestamp":1787564024374,"version":"build-2736575974"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032006462","type":"print"},{"value":"9783032006448","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-032-00644-8_13","type":"book-chapter","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T04:06:22Z","timestamp":1754625982000},"page":"213-231","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Intelligent Network Fuzzer for\u00a0Protocol Testing in\u00a0Healthcare Systems"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8760-3258","authenticated-orcid":false,"given":"Manh-Dung","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5778-0752","authenticated-orcid":false,"given":"Huu Nghia","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5956-0587","authenticated-orcid":false,"given":"Lethycia Maia","family":"de Souza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9571-4417","authenticated-orcid":false,"given":"Stylianos","family":"Karagiannis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2586-9071","authenticated-orcid":false,"given":"Ana Rosa","family":"Cavalli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6771-0689","authenticated-orcid":false,"given":"Edgardo Montes","family":"de Oca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,9]]},"reference":[{"key":"13_CR1","unstructured":"Dicom demystified: Exploring the underbelly of medical imaging (2025). https:\/\/claroty.com\/team82\/research\/dicom-demystified-exploring-the-underbelly-of-medical-imaging"},{"key":"13_CR2","unstructured":"The dicom standard (2025). https:\/\/www.dicomstandard.org\/current"},{"key":"13_CR3","unstructured":"Healthcare s anatomy: Exposing dicom and critical vulnerabilities in healthcare systems (2025). https:\/\/www.gatewatcher.com\/en\/lab\/healthcares-anatomy-attacking-dicom\/"},{"key":"13_CR4","unstructured":"Mmt-dpi (2025). https:\/\/github.com\/Montimage\/mmt-dpi"},{"key":"13_CR5","unstructured":"Orthanc, open-source, lightweight dicom server (2025). https:\/\/www.orthanc-server.com\/index.php"},{"key":"13_CR6","unstructured":"Peach fuzzing platform (2025). https:\/\/gitlab.com\/gitlab-org\/security-products\/protocol-fuzzer-ce"},{"key":"13_CR7","unstructured":"Ba, J., B\u00f6hme, M., Mirzamomen, Z., Roychoudhury, A.: Stateful greybox fuzzing. In: 31st USENIX Security Symposium (USENIX Security 22) (2022)"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Bidgood\u00a0Jr, W.D., Horii, S.C., Prior, F.W., Van\u00a0Syckle, D.E.: Understanding and using dicom, the data interchange standard for biomedical imaging. J. Am. Med. Inform. Assoc. (1997)","DOI":"10.1007\/978-1-4615-5553-7_2"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"B\u00f6hme, M., Pham, V.T., Nguyen, M.D., Roychoudhury, A.: Directed greybox fuzzing. In: CCS \u201917 (2017)","DOI":"10.1145\/3133956.3134020"},{"key":"13_CR10","unstructured":"Caccavale, F.G., Nguyen, H.N., Cavalli, A., Montes De\u00a0Oca, E., Mallouli, W.: Http\/2 attacks generation using 5greplay. In: ARES \u201923"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Daniele, C., Andarzian, S.B., Poll, E.: Fuzzers for stateful systems: survey and research directions. ACM Computing Surveys (2024)","DOI":"10.1145\/3648468"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Desjardins, B., et al.: Dicom images have been hacked! now what? Am. J. Roentgenol. (2020)","DOI":"10.2214\/AJR.19.21958"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Eichelberg, M., Kleber, K., K\u00e4mmerer, M.: Cybersecurity challenges for pacs and medical imaging. Academic Radiology (2020)","DOI":"10.1016\/j.acra.2020.03.026"},{"key":"13_CR14","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1007\/978-3-319-28865-9_18","volume-title":"Security and Privacy in Communication Networks","author":"H Gascon","year":"2015","unstructured":"Gascon, H., Wressnegger, C., Yamaguchi, F., Arp, D., Rieck, K.: Pulsar: stateful black-box fuzzing of proprietary network protocols. In: Thuraisingham, B., Wang, X.F., Yegneswaran, V. (eds.) SecureComm 2015. LNICSSITE, vol. 164, pp. 330\u2013347. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-28865-9_18"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Meng, R., Mirchev, M., B\u00f6hme, M., Roychoudhury, A.: Large language model guided protocol fuzzing. In: Proceedings of the 31st Annual Network and Distributed System Security Symposium (NDSS) (2024)","DOI":"10.14722\/ndss.2024.24556"},{"key":"13_CR16","unstructured":"Mirsky, Y., Mahler, T., Shelef, I., Elovici, Y.: $$\\{$$CT-GAN$$\\}$$: malicious tampering of 3d medical imagery using deep learning. In: 28th USENIX Security Symposium (USENIX Security 19) (2019)"},{"key":"13_CR17","unstructured":"Nguyen, M.D., Bardin, S., Bonichon, R., Groz, R., Lemerre, M.: Binary-level directed fuzzing for Use-After-Free vulnerabilities. In: 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020)"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Nguyen, M.D., Bouaziz, A., Valdes, V., Rosa\u00a0Cavalli, A., Mallouli, W., Montes De\u00a0Oca, E.: A deep learning anomaly detection framework with explainability and robustness. In: Proceedings of the 18th International Conference on Availability, Reliability and Security (2023)","DOI":"10.1145\/3600160.3605052"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Nguyen, M.D., Mallouli, W., Cavalli, A.R., Montes\u00a0de Oca, E.: Ai4soar: a security intelligence tool for automated incident response. ARES \u201924 (2024)","DOI":"10.1145\/3664476.3670450"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Pham, V.T., B\u00f6hme, M., Roychoudhury, A.: Aflnet: a greybox fuzzer for network protocols. In: 2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST) (2020)","DOI":"10.1109\/ICST46399.2020.00062"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Salazar, Z., Nguyen, H.N., Mallouli, W., Cavalli, A.R., Montes\u00a0de Oca, E.: 5greplay: a 5g network traffic fuzzer-application to attack injection. In: Proceedings of the 16th International Conference on Availability, Reliability and Security (2021)","DOI":"10.1145\/3465481.3470079"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Stephens, N., et al.: Driller: Augmenting fuzzing through selective symbolic execution. In: NDSS (2016)","DOI":"10.14722\/ndss.2016.23368"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Wang, Z., Li, Q., Wang, Y., Liu, B., Zhang, J., Liu, Q.: Medical protocol security: dicom vulnerability mining based on fuzzing technology. In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (2019)","DOI":"10.1145\/3319535.3363253"},{"key":"13_CR24","unstructured":"Widup, S., Bassett, G., Hylender, D., Rudis, B., Spitler, M.: Verizon protected health information data breach report (2015)"},{"key":"13_CR25","unstructured":"Xu, L., Skoularidou, M., Cuesta-Infante, A., Veeramachaneni, K.: Modeling tabular data using conditional gan (2019)"}],"container-title":["Lecture Notes in Computer Science","Availability, Reliability and Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-00644-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T04:06:29Z","timestamp":1754625989000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-00644-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783032006462","9783032006448"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-00644-8_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"9 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ARES","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Availability, Reliability and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ghent","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ares-12025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.ares-conference.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}