{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:26:20Z","timestamp":1761582380432,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,27]]},"DOI":"10.1145\/3691620.3695280","type":"proceedings-article","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T15:39:19Z","timestamp":1729265959000},"page":"2176-2186","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Android Malware Family Labeling: Perspectives from the Industry"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3982-4993","authenticated-orcid":false,"given":"Liu","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-8633","authenticated-orcid":false,"given":"Haoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6272-4069","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Macau University of Science and Technology, Macau, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0353-3879","authenticated-orcid":false,"given":"Haitao","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6388-2571","authenticated-orcid":false,"given":"Guozhu","family":"Meng","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8255-7926","authenticated-orcid":false,"given":"Peiming","family":"Gao","sequence":"additional","affiliation":[{"name":"Independent Researcher, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6312-8601","authenticated-orcid":false,"given":"Chen","family":"Wei","sequence":"additional","affiliation":[{"name":"Independent Researcher, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1321-4035","authenticated-orcid":false,"given":"Yi","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2024. Artifact Available. https:\/\/github.com\/MalRadar\/family_label_dynamics."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2901739.2903508"},{"key":"e_1_3_2_1_3_1","first-page":"23","article-title":"Drebin: Effective and explainable detection of android malware in your pocket","volume":"14","author":"Arp Daniel","year":"2014","unstructured":"Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, Konrad Rieck, and CERT Siemens. 2014. Drebin: Effective and explainable detection of android malware in your pocket.. In Ndss, Vol. 14. 23--26.","journal-title":"Ndss"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380354"},{"key":"e_1_3_2_1_5_1","unstructured":"BleepingComputer. 2022. Android malware on the Google Play Store gets 2 million downloads. https:\/\/www.bleepingcomputer.com\/news\/security\/android-malware-on-the-google-play-store-gets-2-million-downloads\/."},{"key":"e_1_3_2_1_6_1","volume-title":"Caro Virus Naming Convention. https:\/\/bontchev.nlcv.bas.bg\/papers\/naming.html.","author":"Bontchev Dr Vesselin","year":"2024","unstructured":"Dr Vesselin Bontchev. 2024. Caro Virus Naming Convention. https:\/\/bontchev.nlcv.bas.bg\/papers\/naming.html."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510161"},{"key":"e_1_3_2_1_8_1","volume-title":"Ting Yu, and Issa Khalil.","author":"Choo Euijin","year":"2022","unstructured":"Euijin Choo, Mohamed Nabeel, Ravindu De Silva, Ting Yu, and Issa Khalil. 2022. A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs. arXiv preprint arXiv:2205.13155 (2022)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2016.25"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE.2016.14"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2019.8668010"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom2018.2018.00051"},{"key":"e_1_3_2_1_13_1","unstructured":"Huawei. 2017. Huawei Market. http:\/\/app.hicloud.com."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2017.57"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2808769.2808780"},{"key":"e_1_3_2_1_16_1","volume-title":"ACAMA: Deep Learning-Based Detection and Classification of Android Malware Using API-Based Features. Security and Communication Networks 2021","author":"Ko Eunbyeol","year":"2021","unstructured":"Eunbyeol Ko, Jinsung Kim, Younghoon Ban, Haehyun Cho, and Jeong Hyun Yi. 2021. ACAMA: Deep Learning-Based Detection and Classification of Android Malware Using API-Based Features. Security and Communication Networks 2021 (2021)."},{"key":"e_1_3_2_1_17_1","volume-title":"The common malware enumeration initiative. Virus Bulletin","author":"Kuo Jimmy","year":"2005","unstructured":"Jimmy Kuo and Desiree Beck. 2005. The common malware enumeration initiative. Virus Bulletin (2005), 14--15."},{"key":"e_1_3_2_1_18_1","unstructured":"Lifehacker. 2022. Beware the Latest Android Malware on Google Play. https:\/\/lifehacker.com\/beware-the-latest-android-malware-on-google-play-1848939703."},{"key":"e_1_3_2_1_19_1","unstructured":"Lifewire. 2022. Is Google Play Safe? https:\/\/www.lifewire.com\/is-google-play-safe-153675."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Yannan Liu Yabin Lai Kaizhi Wei Liang Gu and Zhengzheng Yan. 2020. NLabel: An Accurate Familial Clustering Framework for Large-Scale Weakly-Labeled Malware. In 2020 IEEE 19th International Conference on Trust Security and Privacy in Computing and Communications (TrustCom). IEEE 210--216.","DOI":"10.1109\/TrustCom50675.2020.00039"},{"key":"e_1_3_2_1_21_1","volume-title":"Scaling Multi-Objective Optimization for Clustering Malware. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 1--8.","author":"MacAskill Noah","year":"2021","unstructured":"Noah MacAskill, Zachary Wilkins, and Nur Zincir-Heywood. 2021. Scaling Multi-Objective Optimization for Clustering Malware. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 1--8."},{"volume-title":"2018 IEEE Conference on Communications and Network Security (CNS). IEEE, 1--2.","author":"Mart\u00edn Ignacio","key":"e_1_3_2_1_22_1","unstructured":"Ignacio Mart\u00edn, Jos\u00e9 Alberto Hern\u00e1ndez, and Sergio de los Santos. 2018. Signatureminer: a fast anti-virus signature intelligence tool. In 2018 IEEE Conference on Communications and Network Security (CNS). IEEE, 1--2."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321705.3329854"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355369.3355585"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45719-2_11"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3427228.3427261"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029825"},{"key":"e_1_3_2_1_28_1","volume-title":"Eight years of rider measurement in the android malware ecosystem","author":"Suarez-Tangil Guillermo","year":"2020","unstructured":"Guillermo Suarez-Tangil and Gianluca Stringhini. 2020. Eight years of rider measurement in the android malware ecosystem. IEEE Transactions on Dependable and Secure Computing (2020)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.07.106"},{"key":"e_1_3_2_1_30_1","unstructured":"Tencent. 2017. MyApp Market. https:\/\/android.myapp.com."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRCW.2019.8880840"},{"key":"e_1_3_2_1_32_1","unstructured":"V-Key. 2023. The Rising Cost of Mobile App Data Breaches and the Need for Robust Security. https:\/\/www.v-key.com\/resource\/the-rising-cost-of-mobile-app-data-breaches-and-the-need-for-robust-security\/."},{"key":"e_1_3_2_1_33_1","unstructured":"VirusTotal. 2022. VirusTotal. https:\/\/www.virustotal.com\/."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3555652"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180223"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660359"},{"key":"e_1_3_2_1_37_1","volume-title":"Slowing Down the Aging of Learning-based Malware Detectors with API Knowledge","author":"Zhang Xiaohan","year":"2022","unstructured":"Xiaohan Zhang, Mi Zhang, Yuan Zhang, Ming Zhong, Xin Zhang, Yinzhi Cao, and Min Yang. 2022. Slowing Down the Aging of Learning-based Malware Detectors with API Knowledge. IEEE Transactions on Dependable and Secure Computing (2022)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417291"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.16"},{"key":"e_1_3_2_1_40_1","volume-title":"29th USENIX Security Symposium (USENIX Security 20)","author":"Zhu Shuofei","year":"2020","unstructured":"Shuofei Zhu, Jianjun Shi, Limin Yang, Boqin Qin, Ziyi Zhang, Linhai Song, and Gang Wang. 2020. Measuring and Modeling the Label Dynamics of Online {Anti-Malware} Engines. In 29th USENIX Security Symposium (USENIX Security 20). 2361--2378."}],"event":{"name":"ASE '24: 39th IEEE\/ACM International Conference on Automated Software Engineering","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGSOFT ACM Special Interest Group on Software Engineering","IEEE CS"],"location":"Sacramento CA USA","acronym":"ASE '24"},"container-title":["Proceedings of the 39th IEEE\/ACM International Conference on Automated Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3691620.3695280","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3691620.3695280","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:04:07Z","timestamp":1750291447000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3691620.3695280"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":40,"alternative-id":["10.1145\/3691620.3695280","10.1145\/3691620"],"URL":"https:\/\/doi.org\/10.1145\/3691620.3695280","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]},"assertion":[{"value":"2024-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}