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More recent malicious apps\u2019 employing highly sophisticated detection avoidance techniques makes the traditional machine learning based malware detection methods far less effective. More specifically, they cannot cope with various types of Android malware and have limitation in detection by utilizing a single classification algorithm. To address this limitation, we propose a novel approach in this paper that leverages parallel machine learning and information fusion techniques for better Android malware detection, which is named<jats:italic> Mlifdect<\/jats:italic>. To implement this approach, we first extract eight types of features from static analysis on Android apps and build two kinds of feature sets after feature selection. Then, a parallel machine learning detection model is developed for speeding up the process of classification. Finally, we investigate the probability analysis based and Dempster-Shafer theory based information fusion approaches which can effectively obtain the detection results. To validate our method, other state-of-the-art detection works are selected for comparison with real-world Android apps. The experimental results demonstrate that<jats:italic> Mlifdect<\/jats:italic> is capable of achieving higher detection accuracy as well as a remarkable run-time efficiency compared to the existing malware detection solutions.<\/jats:p>","DOI":"10.1155\/2017\/6451260","type":"journal-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T17:02:10Z","timestamp":1503939730000},"page":"1-14","source":"Crossref","is-referenced-by-count":28,"title":["Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2131-5194","authenticated-orcid":true,"given":"Xin","family":"Wang","sequence":"first","affiliation":[{"name":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0765-6857","authenticated-orcid":true,"given":"Dafang","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1860-9004","authenticated-orcid":true,"given":"Xin","family":"Su","sequence":"additional","affiliation":[{"name":"Hunan Provincial Key Laboratory of Network Investigational Technology, Hunan Police Academy, Changsha, China"},{"name":"Key Laboratory of Network Crime Investigation of Hunan Provincial Colleges, Hunan Police Academy, Changsha, China"}]},{"given":"Wenjia","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, New York Institute of Technology, New York, NY, USA"}]}],"member":"311","reference":[{"key":"5","doi-asserted-by":"publisher","DOI":"10.1002\/sec.1248"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ifs.2014.0099"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2013.05.008"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/479174"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1145\/2619091"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/TST.2016.7399288"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2015.103"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2015.01.001"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.2307\/2335954"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21606-5"},{"issue":"1","key":"30","first-page":"98","volume":"4","year":"2013","journal-title":"Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications"},{"key":"31","year":"1976"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177698950"}],"container-title":["Security and Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2017\/6451260.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2017\/6451260.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2017\/6451260.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T17:02:19Z","timestamp":1503939739000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/scn\/2017\/6451260\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":13,"alternative-id":["6451260","6451260"],"URL":"https:\/\/doi.org\/10.1155\/2017\/6451260","relation":{},"ISSN":["1939-0114","1939-0122"],"issn-type":[{"value":"1939-0114","type":"print"},{"value":"1939-0122","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}