{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T21:39:16Z","timestamp":1781386756199,"version":"3.54.1"},"reference-count":29,"publisher":"Tech Science Press","issue":"1","license":[{"start":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T00:00:00Z","timestamp":1721347200000},"content-version":"vor","delay-in-days":200,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.051685","type":"journal-article","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T06:00:32Z","timestamp":1719900032000},"page":"875-896","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":3,"title":["MUS Model: A Deep Learning-Based Architecture for IoT Intrusion Detection"],"prefix":"10.32604","volume":"80","author":[{"given":"Yu","family":"Yan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shen","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minna","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiding","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2016.09.001","article-title":"Computer vision for assistive technologies","volume":"154","author":"Leo","year":"2017","journal-title":"Comput. Vis. Image Underst."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"164","DOI":"10.4236\/jcc.2015.35021","article-title":"Internet of things (IoT): A literature review","volume":"3","author":"Madakam","year":"2015","journal-title":"J. Comput. Commun."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"232","DOI":"10.31154\/cogito.v8i1.356.232-243","article-title":"LockBit 2.0 ransomware: Analysis of infection, persistence, prevention mechanism","volume":"8","author":"Eliando","year":"2022","journal-title":"CogITo Smart J."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1109\/JIOT.2023.3285714","article-title":"IoT-AD: A framework to detect anomalies among interconnected IoT devices","volume":"11","author":"Zahan","year":"2023","journal-title":"IEEE Internet Things J."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"88","DOI":"10.3390\/electronics12010088","article-title":"Architectural threats to security and privacy: A challenge for internet of things (IoT) applications","volume":"12","author":"Khan","year":"2022","journal-title":"Electronics"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109893","article-title":"SDN candidate and protection path selection for link failure protection in hybrid SDNs","volume":"244","author":"Li","year":"2024","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref7","doi-asserted-by":"crossref","first-page":"32","DOI":"10.3390\/info15010032","article-title":"Efficient revocable attribute-based encryption with data integrity and key escrow-free","volume":"15","author":"Huang","year":"2024","journal-title":"Information"},{"key":"ref8","series-title":"Proc. 7th ACM Conf. Comput. Commun. Secur.","first-page":"190","article-title":"Implementing a distributed firewall","author":"Ioannidis","year":"2000"},{"key":"ref9","series-title":"Int. Sch. Found. Secur. Anal. Des.","first-page":"137","article-title":"Access control: Policies, models, and mechanisms","author":"Samarati","year":"2000"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1007\/978-3-319-57141-6_20","article-title":"Using virtualization technology for the user authorization system","volume":"575","author":"Polenov","year":"2017","journal-title":"Software Engineering Trends and Techniques in Intelligent Systems"},{"key":"ref11","first-page":"101796","article-title":"GDE model: A variable intrusion detection model for few-shot attack","volume":"35","author":"Yan","year":"2023","journal-title":"J. King Saud Univ.\u2014Comput. Inf. Sci."},{"key":"ref12","first-page":"646","volume":"215","author":"Anderson","year":"1980","journal-title":"Technical Report"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"Hinton","year":"2006","journal-title":"Science"},{"key":"ref14","first-page":"2607","article-title":"A fused machine learning approach for intrusion detection system","volume":"74","author":"Farooq","year":"2023","journal-title":"Comput. Mater. Contin."},{"key":"ref15","doi-asserted-by":"crossref","first-page":"4921","DOI":"10.3390\/app13084921","article-title":"HDLNIDS: Hybrid deep-learning-based network intrusion detection system","volume":"13","author":"Qazi","year":"2023","journal-title":"Appl. Sci."},{"key":"ref16","first-page":"180","article-title":"Anomaly detection for time series data based on multi-granularity neighbor residual network","volume":"3","author":"Xie","year":"2022","journal-title":"Int. J. Cogn. Comput. Eng."},{"key":"ref17","first-page":"2119","article-title":"Internet of things intrusion detection system based on convolutional neural network","volume":"75","author":"Yin","year":"2023","journal-title":"Comput. Mater. Contin."},{"key":"ref18","first-page":"571","article-title":"Gramian angular field transformation-based intrusion detection","volume":"23","author":"Terzi","year":"2022","journal-title":"Comput. Sci."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"5567","DOI":"10.3390\/app11125567","article-title":"Intrusion detection based on gray-level co-occurrence matrix and 2D dispersion entropy","volume":"11","author":"Baldini","year":"2021","journal-title":"Appl. Sci."},{"key":"ref20","doi-asserted-by":"crossref","first-page":"108530","DOI":"10.1109\/ACCESS.2022.3213937","article-title":"Tier-based optimization for synthesized network intrusion detection system","volume":"10","author":"Siddiqi","year":"2022","journal-title":"IEEE Access"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1109\/TKDE.2004.29","article-title":"Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques","volume":"16","author":"Webb","year":"2004","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref22","doi-asserted-by":"crossref","first-page":"21","DOI":"10.3390\/app122111298","article-title":"CBA-CLSVE: A class-level soft-voting ensemble based on the chaos bat algorithm for intrusion detection","volume":"12","author":"Shen","year":"2022","journal-title":"Appl. Sci."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"3257","DOI":"10.32604\/iasc.2023.035874","article-title":"Ensemble voting-based anomaly detection for a smart grid communication infrastructure","volume":"36","author":"Alshede","year":"2023","journal-title":"Intell. Auto. Soft Comput."},{"key":"ref24","doi-asserted-by":"crossref","first-page":"4779","DOI":"10.1007\/s00500-022-07612-9","article-title":"Weighted heterogeneous ensemble for the classification of intrusion detection using ant colony optimization for continuous search spaces","volume":"27","author":"Albashish","year":"2022","journal-title":"Soft Comput."},{"key":"ref25","unstructured":"L. Liu and Z. Wang, \u201cEncoding temporal markov dynamics in graph for time series visualization,\u201d arXiv preprint arXiv:1610.07273."},{"key":"ref26","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1016\/j.ijleo.2010.05.010","article-title":"An image sharpening algorithm based on fuzzy logic","volume":"122","author":"Gui","year":"2011","journal-title":"Optik"},{"key":"ref27","unstructured":"K. Simonyan and A. Zisserman, \u201cVery deep convolutional networks for large-scale image recognition,\u201d arXiv preprint arXiv:1409.1556."},{"key":"ref28","doi-asserted-by":"crossref","first-page":"8972","DOI":"10.3390\/app12188972","article-title":"Deep residual learning for image recognition: A survey","volume":"12","author":"Shafiq","year":"2022","journal-title":"Appl. Sci."},{"key":"ref29","unstructured":"A. G. Howard et al., \u201cMobileNets: Efficient convolutional neural networks for mobile vision applications,\u201d arXiv preprint arXiv:1704.04861."}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-80-1\/TSP_CMC_51685\/TSP_CMC_51685.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T11:37:15Z","timestamp":1741261035000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v80n1\/57394"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":29,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.051685","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-03-12","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-05-16","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-07-18","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}