Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Identifying Authorship Style in Malicious Binaries: Techniques,
  Challenges & Datasets   Attributing a piece of malware to its creator typically requires threat
intelligence. Binary attribution increases the level of difficulty as it mostly
relies upon the ability to disassemble binaries to identify authorship style.
Our survey explores malicious author style and the adversarial techniques used
by them to remain anonymous. We examine the adversarial impact on the
state-of-the-art methods. We identify key findings and explore the open
research challenges. To mitigate the lack of ground truth datasets in this
domain, we publish alongside this survey the largest and most diverse
meta-information dataset of 15,660 malware labeled to 164 threat actor groups.

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The categories of this paper are: gr-qc
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The categories of this paper are: acc-phys
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-ph
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: solv-int
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The categories of this paper are: supr-con
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The categories of this paper are: comp-gas
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The categories of this paper are: math
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The categories of this paper are: econ
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The categories of this paper are: cond-mat
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The categories of this paper are: ao-sci