A new machine learning-based method for android malware detection on imbalanced dataset

作者: Abbas Rasoolzadegan , Diyana Tehrany Dehkordy

DOI: 10.1007/S11042-021-10647-Z

关键词:

摘要: … Considering the widespread usage of imbalanced datasets, it is necessary to manage the challenge of balancing datasets. Traditional classifiers assume the used dataset to be …

参考文章(52)
Taklit Akrouf Alitouche, Hassiba Kheliouane Djemaa, Mohamed Bekkar, Evaluation Measures for Models Assessment over Imbalanced Data Sets Journal of Information Engineering and Applications. ,vol. 3, pp. 27- 38 ,(2013)
Yousra Aafer, Wenliang Du, Heng Yin, DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. pp. 86- 103 ,(2013) , 10.1007/978-3-319-04283-1_6
Tao Xie, William Enck, Xusheng Xiao, Sihan Li, Benjamin Andow, Wei Yang, AppContext: differentiating malicious and benign mobile app behaviors using context international conference on software engineering. ,vol. 1, pp. 303- 313 ,(2015) , 10.5555/2818754.2818793
Michael Grace, Yajin Zhou, Qiang Zhang, Shihong Zou, Xuxian Jiang, RiskRanker Proceedings of the 10th international conference on Mobile systems, applications, and services - MobiSys '12. pp. 281- 294 ,(2012) , 10.1145/2307636.2307663
Qiang Yang, Xindong Wu, None, 10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH International Journal of Information Technology and Decision Making. ,vol. 05, pp. 597- 604 ,(2006) , 10.1142/S0219622006002258
Daiyong Quan, Lidong Zhai, Fan Yang, Peng Wang, Detection of Android Malicious Apps Based on the Sensitive Behaviors trust security and privacy in computing and communications. pp. 877- 883 ,(2014) , 10.1109/TRUSTCOM.2014.115
Mahbod Tavallaee, Natalia Stakhanova, Ali Akbar Ghorbani, Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods systems man and cybernetics. ,vol. 40, pp. 516- 524 ,(2010) , 10.1109/TSMCC.2010.2048428
Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, Konrad Rieck, CERT Siemens, DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket. network and distributed system security symposium. ,(2014) , 10.14722/NDSS.2014.23247
Shuo Wang, Xin Yao, Diversity analysis on imbalanced data sets by using ensemble models computational intelligence and data mining. pp. 324- 331 ,(2009) , 10.1109/CIDM.2009.4938667
Muazzam Siddiqui, Morgan C. Wang, Joohan Lee, A survey of data mining techniques for malware detection using file features acm southeast regional conference. pp. 509- 510 ,(2008) , 10.1145/1593105.1593239