{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T18:24:12Z","timestamp":1779906252381,"version":"3.53.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533500","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-7","source":"Crossref","is-referenced-by-count":17,"title":["Cross-Architecture Intemet-of-Things Malware Detection Based on Graph Neural Network"],"prefix":"10.1109","author":[{"given":"Chuangfeng","family":"Li","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering Sun Yat-sen University,Information Technology Key Laboratory of the Ministry of Education,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangming","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering Sun Yat-sen University,Information Technology Key Laboratory of the Ministry of Education,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering Sun Yat-sen University,Information Technology Key Laboratory of the Ministry of Education,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Semi-supervised classification with graph convolutional networks","volume":"abs 1609 2907","author":"kipf","year":"2016","journal-title":"CoRR"},{"key":"ref11","article-title":"Hierarchical graph pooling with structure learning","author":"zhang","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref12","first-page":"1210","article-title":"Dynamic malware analysis with feature engineering and feature learning","volume":"34","author":"zhaoqi","year":"0","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-011-0152-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2491300"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"96899","DOI":"10.1109\/ACCESS.2020.2995887","article-title":"Dynamic analysis for iot malware detection with convolution neural network model","volume":"8","author":"jeon","year":"2020","journal-title":"IEEE Access"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CNS.2018.8433203"},{"key":"ref17","article-title":"zynamics","year":"2011","journal-title":"zynamics bindiff uses a unique graph-theoretical approach to compare executables by identifying identical and similar functions"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SECPRI.2001.924286"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSUSC.2018.2809665"},{"key":"ref28","article-title":"devttys0","year":"2020","journal-title":"Binwalk"},{"key":"ref4","article-title":"Malware detection by eating a whole exe","author":"raff","year":"0","journal-title":"Proceedings of AAAI Workshops"},{"key":"ref27","year":"0","journal-title":"OpenWRT"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029823"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1653662.1653736"},{"key":"ref29","year":"0","journal-title":"VirusShare"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3073559"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5466"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/SOFTCOM.2017.8115504"},{"key":"ref9","article-title":"The ida pro disassembler and debugger","volume":"6","author":"guilfanov","year":"2011","journal-title":"DataRescue Version"},{"key":"ref1","article-title":"Kaspersky","year":"2019","journal-title":"IoT under fire Kaspersky detects more than 100 million attacks on smart devices in HI 2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCEA50009.2020.00062"},{"key":"ref22","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-019-00475-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref23","first-page":"593","article-title":"Modeling relational data with graph convolutional networks","author":"schlichtkrull","year":"0","journal-title":"European Semantic Web Conference"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2016.23415"},{"key":"ref25","first-page":"11","article-title":"A survey and method for analysing soho router firmware currency","author":"hampton","year":"2015","journal-title":"Australian Information Security Management Conference"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,18]]},"end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533500.pdf?arnumber=9533500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:33:32Z","timestamp":1659483212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533500","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}