Beta
33968

AN EFFICIENT TECHNIQUE FOR SQL INJECTION DETECTION AND PREVENTION

Article

Last updated: 24 Dec 2024

Subjects

-

Tags

-

Abstract

With the recent rapid increase of interactive web applications that employ back-end database services, a SQL injection attack has become one of the most serious security threats. This type of attack can compromise confidentiality and integrity of information and database. Actually, an attacker intrudes to the web application database and consequently, access to data. For preventing this type of attack different techniques have been proposed by researchers but they are not enough because most of implemented techniques cannot stop all type of attacks. In this paper our proposed technique are detection of SQL injection and prevention based on first order, second order and blind SQL injection attacks online. The proposed technique implemented in JAVA and evaluated for seven types of SQL injection attacks. Experimental results have shown that the proposed technique is efficient related to execution time overhead. Our technique need to be one second overhead to execution time. Moreover, we have compared the proposed technique with the popular web application vulnerabilities scanner techniques. The most advantages of proposed technique Its easiness to adopt by software developer, having the same syntactic structure as current popular record set retrieval methods.

DOI

10.21608/ijci.2014.33968

Keywords

Web application, Database SQL Injection Attack, detection, prevention

Authors

First Name

E.

Last Name

Safwat

MiddleName

M.

Affiliation

Computer science Department Faculty of computer and information, Menofia University

Email

esraa_safwat87@yahoo.com

City

-

Orcid

-

First Name

H.

Last Name

Mahgoub

MiddleName

-

Affiliation

Computer science Department, Faculty of computer and information Menoufyia University

Email

h_mghguob@yahoo.com

City

-

Orcid

-

First Name

Ashraf

Last Name

Bahgat

MiddleName

-

Affiliation

Faculty of Computer and Information Menoufia University

Email

ashrafelsisim@yahoo.com

City

-

Orcid

-

First Name

Arabi

Last Name

Keshk

MiddleName

-

Affiliation

Faculty of Computer and Information Menoufia University

Email

arabikeshk@yahoo.com

City

-

Orcid

-

Volume

3

Article Issue

1

Related Issue

5677

Issue Date

2014-06-01

Receive Date

2014-01-06

Publish Date

2014-06-01

Page Start

57

Page End

74

Print ISSN

1687-7853

Online ISSN

2735-3257

Link

https://ijci.journals.ekb.eg/article_33968.html

Detail API

https://ijci.journals.ekb.eg/service?article_code=33968

Order

5

Type

Original Article

Type Code

877

Publication Type

Journal

Publication Title

IJCI. International Journal of Computers and Information

Publication Link

https://ijci.journals.ekb.eg/

MainTitle

AN EFFICIENT TECHNIQUE FOR SQL INJECTION DETECTION AND PREVENTION

Details

Type

Article

Created At

22 Jan 2023