Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cyberattack Detection in Mobile Cloud Computing: A Deep Learning
  Approach   With the rapid growth of mobile applications and cloud computing, mobile
cloud computing has attracted great interest from both academia and industry.
However, mobile cloud applications are facing security issues such as data
integrity, users' confidentiality, and service availability. A preventive
approach to such problems is to detect and isolate cyber threats before they
can cause serious impacts to the mobile cloud computing system. In this paper,
we propose a novel framework that leverages a deep learning approach to detect
cyberattacks in mobile cloud environment. Through experimental results, we show
that our proposed framework not only recognizes diverse cyberattacks, but also
achieves a high accuracy (up to 97.11%) in detecting the attacks. Furthermore,
we present the comparisons with current machine learning-based approaches to
demonstrate the effectiveness of our proposed solution.

25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas