{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T02:13:32Z","timestamp":1773713612131,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2024YFE0215300"],"award-info":[{"award-number":["2024YFE0215300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376074"],"award-info":[{"award-number":["62376074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["KJZD20240903100505007"],"award-info":[{"award-number":["KJZD20240903100505007"]}]},{"name":"Shenzhen Science and Technology Program","award":["KJZD20231023095959002"],"award-info":[{"award-number":["KJZD20231023095959002"]}]},{"name":"Shenzhen Science and Technology Program","award":["SGDX20230116091244004"],"award-info":[{"award-number":["SGDX20230116091244004"]}]},{"name":"Shenzhen Science and Technology Program","award":["JSGGKQTD20221101115655027"],"award-info":[{"award-number":["JSGGKQTD20221101115655027"]}]},{"name":"Shenzhen Science and Technology Program","award":["ZDSYS20230626091203008"],"award-info":[{"award-number":["ZDSYS20230626091203008"]}]},{"name":"Cloud Technology Endowed Professorship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Dependable and Secure Comput."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tdsc.2025.3628879","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T18:38:43Z","timestamp":1762281523000},"page":"2648-2663","source":"Crossref","is-referenced-by-count":0,"title":["HGAFA: Heterogeneous Graph Attention-Based Featureless Aggregation for IoC Joint Identification"],"prefix":"10.1109","volume":"23","author":[{"given":"Hongjie","family":"Gu","sequence":"first","affiliation":[{"name":"School of Software Engineering, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3820-8128","authenticated-orcid":false,"given":"Daojing","family":"He","sequence":"additional","affiliation":[{"name":"School of Software Engineering, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jialun","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Engineering, The Hong Kong University of Science and Technology, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3913-5001","authenticated-orcid":false,"given":"Gaolei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Cybersecurity, University of Texas at San Antonio, San Antonio, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Automatic identification of indicators of compromise using neural-based sequence labelling","author":"Zhou","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11030416"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852142"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.02.013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3360867"},{"key":"ref6","first-page":"241","article-title":"Cyber threat intelligence modeling based on heterogeneous graph convolutional network","volume-title":"Proc. 23rd Int. Symp. Res. Attacks Intrusions Defenses","author":"Zhao"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2022.3229472"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2987019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3233703"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC46108.2020.9045113"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1654"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599565"},{"key":"ref13","first-page":"5376","article-title":"A comprehensive study on large-scale graph training: Benchmarking and rethinking","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Duan"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2020.102057"},{"key":"ref15","article-title":"HinDom: A robust malicious domain detection system based on heterogeneous information network with transductive classification","author":"Sun","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5833"},{"key":"ref17","first-page":"241","article-title":"Cyber threat intelligence modeling based on heterogeneous graph convolutional network","volume-title":"Proc. Int. Symp. Res. Attacks Intrusions Defenses","author":"Zhao"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.14778\/3494124.3494128"},{"key":"ref19","first-page":"1","article-title":"Behaviour-aware malware classification: Dynamic feature selection","volume-title":"Proc. Int. Conf. Knowl. Syst. Eng.","author":"Phai"},{"key":"ref20","first-page":"3721","article-title":"Compromised or attacker-owned: A large scale classification and study of hosting domains of malicious URLs","volume-title":"Proc. USENIX Secur. Symp.","author":"Silva"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24475"},{"key":"ref22","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref23","article-title":"Decaying indicators of compromise","author":"Iklody","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3101356"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3079239"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3520798"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2024.104093"},{"key":"ref30","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref31","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-29551-6_59"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n16-1174"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441746"},{"key":"ref35","first-page":"11983","article-title":"Graph transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yun"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107611"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939747"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/bs.host.2016.07.001"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2018.01.004"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD49262.2021.9437852"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS47738.2020.9110462"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.108086"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.56553\/popets-2023-0046"},{"key":"ref45","first-page":"254","article-title":"Threat analysis of IoT security knowledge graph based on confidence","volume-title":"Proc. 6th Int. Symp. Emerg. Technol. Educ.","author":"Zhang"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/math12050640"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/SP54263.2024.00006"}],"container-title":["IEEE Transactions on Dependable and Secure Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8858\/11434575\/11224803.pdf?arnumber=11224803","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T01:16:53Z","timestamp":1773710213000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11224803\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":47,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tdsc.2025.3628879","relation":{},"ISSN":["1545-5971","1941-0018","2160-9209"],"issn-type":[{"value":"1545-5971","type":"print"},{"value":"1941-0018","type":"electronic"},{"value":"2160-9209","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}