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200311

Using Big Data Technology for Vulnerability Scanners

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Last updated: 23 Jan 2023

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Abstract

This paper presents the general characteristics of expert systems for processing of data analysis and secure information systems using vulnerability scanners and Big Data technologies. The work of vulnerability scanners is usually based on OWASP security standard recommendations that insist on the processing of various vulnerabilities and attacks. The number of queries to web-sites used by vulnerability scanners during the checking process may increase very rapidly and reach the size of Big Data. Thus, the consideration of Big data analysis becomes actual in this case.

DOI

10.21608/aeta.2016.200311

Keywords

Big Data, Hadoop, MapReduce, vulnerability scanner, Cloudera, Hive, HDFS

Authors

First Name

Azamat

Last Name

Kulmanov

MiddleName

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Affiliation

Kazakh British Technical University, Almaty, Kazakhstan

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Orcid

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First Name

Lyazzat

Last Name

Atymtayeva

MiddleName

-

Affiliation

Kazakh British Technical University, Almaty, Kazakhstan

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Volume

5

Article Issue

2

Related Issue

28254

Issue Date

2016-05-01

Receive Date

2021-10-19

Publish Date

2016-05-01

Page Start

1

Page End

4

Print ISSN

2090-9535

Online ISSN

2090-9543

Link

https://aeta.journals.ekb.eg/article_200311.html

Detail API

https://aeta.journals.ekb.eg/service?article_code=200311

Order

200,311

Type

Original Article

Type Code

2,017

Publication Type

Journal

Publication Title

Advanced Engineering Technology and Application

Publication Link

https://aeta.journals.ekb.eg/

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Article

Created At

23 Jan 2023