Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DDoSDet: An approach to Detect DDoS attacks using Neural Networks   Cyber-attacks have been one of the deadliest attacks in today's world. One of
them is DDoS (Distributed Denial of Services). It is a cyber-attack in which
the attacker attacks and makes a network or a machine unavailable to its
intended users temporarily or indefinitely, interrupting services of the host
that are connected to a network. To define it in simple terms, It's an attack
accomplished by flooding the target machine with unnecessary requests in an
attempt to overload and make the systems crash and make the users unable to use
that network or a machine. In this research paper, we present the detection of
DDoS attacks using neural networks, that would flag malicious and legitimate
data flow, preventing network performance degradation. We compared and assessed
our suggested system against current models in the field. We are glad to note
that our work was 99.7\% accurate.

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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: patt-sol
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The categories of this paper are: eess
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
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The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ