{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T13:27:47Z","timestamp":1770730067589,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819787487","type":"print"},{"value":"9789819787494","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-8749-4_1","type":"book-chapter","created":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T15:57:22Z","timestamp":1730303842000},"page":"3-18","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Android Malware Detection Method Based on Machine Learning"],"prefix":"10.1007","author":[{"given":"Xiong","family":"Wan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanqing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,31]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","DOI":"10.27698\/d.cnki.gwhxj.2023.000527.since2008","author":"B Hu","year":"2023","unstructured":"Hu, B.: Research on malware detection and classification methods for android platform. Wuhan Text. Univ. (2023). https:\/\/doi.org\/10.27698\/d.cnki.gwhxj.2023.000527.since2008","journal-title":"Wuhan Text. Univ."},{"key":"1_CR2","unstructured":"Experts warn of increasing Android malware activity http:\/\/www.infosecurity-magazine.com\/news\/expert-warns-growing-android\/FjordPhantom"},{"key":"1_CR3","unstructured":"Android malware attacks banks through virtualization. https:\/\/www.infosecurity-magazine.com\/news\/fjordphantom-malware-targets-banks\/"},{"key":"1_CR4","doi-asserted-by":"publisher","unstructured":"Di, L.: Research and implementation of android malicious application automatic detection model based on deep learning. Beijing Univ. Posts Telecommun. (2023).https:\/\/doi.org\/10.26969\/d.cnki.gbydu.2023.002788","DOI":"10.26969\/d.cnki.gbydu.2023.002788"},{"key":"1_CR5","unstructured":"Zhang, S.: Research and Implementation of Malicious Program Detection Technology Based on Assembly Instruction. Beijing: Beijing University of Posts and Telecommunications. Static detection refers to not running an application (2019)"},{"key":"1_CR6","doi-asserted-by":"publisher","unstructured":"Xue, W.: Research and Application of Android Malware Detection Technology Based on Static and Dynamic Analysis . Shanxi University (2023).https:\/\/doi.org\/10.27284\/d.cnki.gsxiu.2023.001044","DOI":"10.27284\/d.cnki.gsxiu.2023.001044"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Jeon, J., Park, J.H., Jeong, Y.S.: Dynamic analysis for IoT malware detection with convolution neural network model. IEEE Access 8, 96899\u201396911 (2020)","DOI":"10.1109\/ACCESS.2020.2995887"},{"key":"1_CR8","doi-asserted-by":"publisher","unstructured":"Zhan, Z.: Research on Android Malware Hybrid Detection Scheme Based on Integrated Learning. Nanjing University of Information Engineering, Static and dynamic methods are complementary (2023).https:\/\/doi.org\/10.27248\/d.cnki.gnjqc.2023.000225","DOI":"10.27248\/d.cnki.gnjqc.2023.000225"},{"issue":"01","key":"1_CR9","doi-asserted-by":"publisher","first-page":"7","DOI":"10.19414\/j.cnki.1005-1228.2024.01.017","volume":"32","author":"J Mei","year":"2024","unstructured":"Mei, J., Chen, J.: Application of KNN algorithm in diabetes prediction. Comput. Inf. Technol. 32(01), 7\u20139 (2024). https:\/\/doi.org\/10.19414\/j.cnki.1005-1228.2024.01.017","journal-title":"Comput. Inf. Technol."},{"issue":"22","key":"1_CR10","doi-asserted-by":"publisher","first-page":"15","DOI":"10.19850\/j.cnki.2096-4706.2023.22.004","volume":"7","author":"Z Li","year":"2023","unstructured":"Li, Z., Yan, X., Ma, Y., et al.: Abnormal traffic detection of campus network based on AI learning. Modern Inf. Technol. 7(22), 15\u201319 (2023). https:\/\/doi.org\/10.19850\/j.cnki.2096-4706.2023.22.004","journal-title":"Modern Inf. Technol."},{"key":"1_CR11","unstructured":"Yang, L., Wu, Y., Wang, J., Liu, Y.: A review of recurrent neural networks. Comput. Appl. 38(202), 1\u20136, 26 (2018)"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8749-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T16:09:52Z","timestamp":1730304592000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8749-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819787487","9789819787494"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8749-4_1","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"31 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.icpcsee.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}