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The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach
Communications of the Association for Information Systems
The increase in the number of mobile devices that use the Android operating system has attracted the attention of cybercriminals who want to disrupt or gain unauthorized access to them through malware infections. To prevent such malware, cybersecurity experts and researchers require datasets of malware samples that most available antivirus software programs cannot detect. However, researchers have infrequently discussed how to identify evolving Android malware characteristics from differentdblp:journals/cais/SharmaKKK20 fatcat:m5hrtztxnfaixoaiditujqurq4