{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:15:09Z","timestamp":1750220109131,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T00:00:00Z","timestamp":1655942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,23]]},"DOI":"10.1145\/3548636.3548651","type":"proceedings-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T16:09:33Z","timestamp":1661270973000},"page":"99-104","source":"Crossref","is-referenced-by-count":0,"title":["Two-path Android Malware Detection Based on N-gram Feature Weighting"],"prefix":"10.1145","author":[{"given":"Min","family":"Sun","sequence":"first","affiliation":[{"name":"College of Computer Science&amp;Technology, Shanxi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danni","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science&amp;Technology, Shanxi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"unstructured":"Analysis of Android Malicious Applications and Detection Technology [EB\/OL]. [2019-05-09]. https:\/\/www.secrss.com\/articles\/10524.  Analysis of Android Malicious Applications and Detection Technology [EB\/OL]. [2019-05-09]. https:\/\/www.secrss.com\/articles\/10524.","key":"e_1_3_2_1_1_1"},{"unstructured":"Deloitte OPPO. 2021 Mobile Application (APP) Personal Information Protection White Paper [R\/OL]. [2021-10]. https:\/\/www2.deloitte.com  Deloitte OPPO. 2021 Mobile Application (APP) Personal Information Protection White Paper [R\/OL]. [2021-10]. https:\/\/www2.deloitte.com","key":"e_1_3_2_1_2_1"},{"unstructured":"MMIT. 2021 National Mobile Application Security Observation Report [R\/OL].[2022-01]. https:\/\/www.freebuf.com\/articles\/network\/320742.html  MMIT. 2021 National Mobile Application Security Observation Report [R\/OL].[2022-01]. https:\/\/www.freebuf.com\/articles\/network\/320742.html","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","volume-title":"Analysis and Classification of Android Malware using Machine Learning Algorithms[C]\/\/ 2018 3rd International Conference on Inventive Computation Technologies (ICICT)","author":"Tarar N","year":"2018","unstructured":"Tarar N , Sharma S , Krishna C R . Analysis and Classification of Android Malware using Machine Learning Algorithms[C]\/\/ 2018 3rd International Conference on Inventive Computation Technologies (ICICT) . 2018 . Tarar N , Sharma S , Krishna C R . Analysis and Classification of Android Malware using Machine Learning Algorithms[C]\/\/ 2018 3rd International Conference on Inventive Computation Technologies (ICICT). 2018."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1002\/cpe.6332"},{"issue":"2","key":"e_1_3_2_1_6_1","first-page":"7","article-title":"Android Malware Detection Based on N-gram[J]","volume":"46","author":"Zhang Z M","year":"2019","unstructured":"Zhang Z M , Gui S L , Ren F , Android Malware Detection Based on N-gram[J] . Computer Science , 2019 , 46 ( 2 ): 7 . Zhang Z M, Gui S L,Ren F,et al. Android Malware Detection Based on N-gram[J]. Computer Science, 2019, 46(2):7.","journal-title":"Computer Science"},{"key":"e_1_3_2_1_7_1","author":"Li J","year":"2018","unstructured":"Li J , Wang Z , Wang T , An Android Malware Detection System Based on Feature Fusion[J] . Chinese Journal of Electronics , 2018 . Li J , Wang Z , Wang T , An Android Malware Detection System Based on Feature Fusion[J]. Chinese Journal of Electronics, 2018.","journal-title":"Chinese Journal of Electronics"},{"volume-title":"Android malware detection based on multi-features[C]\/\/Proceedings of the 8th International Conference on Communication and Network Security. 2018: 69-73","author":"Liu X","unstructured":"Liu X , Dong X , Lei Q. Android malware detection based on multi-features[C]\/\/Proceedings of the 8th International Conference on Communication and Network Security. 2018: 69-73 . Liu X, Dong X, Lei Q. Android malware detection based on multi-features[C]\/\/Proceedings of the 8th International Conference on Communication and Network Security. 2018: 69-73.","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","volume-title":"2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE","author":"Hou S","year":"2020","unstructured":"Hou S , Saas A , Chen L , Deep Neural Networks for Automatic Android Malware Detection[C]\/\/ 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE , 2020 . Hou S , Saas A , Chen L , Deep Neural Networks for Automatic Android Malware Detection[C]\/\/ 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020."},{"key":"e_1_3_2_1_10_1","volume-title":"Android Malware Detection Based on Logistic Regression and XGBoost[C]\/\/2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","author":"Suhuan L","year":"2019","unstructured":"Suhuan L , Xiaojun H. Android Malware Detection Based on Logistic Regression and XGBoost[C]\/\/2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) . IEEE , 2019 : 528-532. Suhuan L, Xiaojun H. Android Malware Detection Based on Logistic Regression and XGBoost[C]\/\/2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2019: 528-532."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1109\/TII.2017.2789219"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1002\/spe.2971"}],"event":{"acronym":"ITCC 2022","name":"ITCC 2022: 2022 4th International Conference on Information Technology and Computer Communications","location":"Guangzhou China"},"container-title":["2022 4th International Conference on Information Technology and Computer Communications (ITCC)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3548636.3548651","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3548636.3548651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:39Z","timestamp":1750183839000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3548636.3548651"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,23]]},"references-count":12,"alternative-id":["10.1145\/3548636.3548651","10.1145\/3548636"],"URL":"https:\/\/doi.org\/10.1145\/3548636.3548651","relation":{},"subject":[],"published":{"date-parts":[[2022,6,23]]}}}