Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-Sovereign Identity: A Systematic Map and Review   Self-Sovereign Identity is a user-centric identity model. In this model, the
user maintains and controls their data. When requested by a service provider,
user data is sent directly by the user, without the intermediation of third
parties. Thus, in Self-Sovereign Identity, the participation of known identity
providers for proof of identity is reduced, which increases user privacy. This
identity model has attracted the attention of researchers and organizations
around the world. All this interest increased the number of scientific articles
published on the subject. The analysis of published materials showed that ideas
and proposals are very diverse and dispersed. Although there are few systematic
reviews, they lack methodological rigor and are limited to a small subset of
published works. This study presents a rigorous systematic mapping and
systematic literature review covering theoretical and practical advances in
Self-Sovereign Identity. We identified and aggregated evidence from
publications to answer four research questions, resulting in a classification
scheme used to categorize and review publications. Open challenges are also
discussed, providing recommendations for future work.

6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
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The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an