![]() ![]() ![]() ![]() In total, we discovered 20 pitfalls that limit current research impact and reproducibility. As far as we know, this is the largest literature review of its kind and the first to summarize research pitfalls in a research methodology that avoids them. Our goal is towards integrating science and engineering best practices to develop further, improved research by learning from issues present in the published body of work. ![]() We identified the most common pitfalls present in past literature and propose a method for assessing current (and future) malware research. To help answering those questions and to highlight potential research pitfalls to be avoided, in this paper, we present a systematic literature review of 491 papers on malware research published in major security conferences between 20. The challenges these questions pose also brings pitfalls that affect the multiple malware research stakeholders. As the malware research field became more established over the last two decades, new research questions arose, such as how to make malware research reproducible, how to bring scientific rigor to attack papers, or what is an appropriate malware dataset for relevant experimental results. ![]()
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