Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Leveraging Support Vector Machine for Opcode Density Based Detection of
  Crypto-Ransomware   Ransomware is a significant global threat, with easy deployment due to the
prevalent ransomware-as-a-service model. Machine learning algorithms
incorporating the use of opcode characteristics and Support Vector Machine have
been demonstrated to be a successful method for general malware detection. This
research focuses on crypto-ransomware and uses static analysis of malicious and
benign Portable Executable files to extract 443 opcodes across all samples,
representing them as density histograms within the dataset. Using the SMO
classifier and PUK kernel in the WEKA machine learning toolset it demonstrates
that this methodology can achieve 100% precision when differentiating between
ransomware and goodware, and 96.5% when differentiating between 5
cryptoransomware families and goodware. Moreover, 8 different attribute
selection methods are evaluated to achieve significant feature reduction. Using
the CorrelationAttributeEval method close to 100% precision can be maintained
with a feature reduction of 59.5%. The CFSSubset filter achieves the highest
feature reduction of 97.7% however with a slightly lower precision at 94.2%.

23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph