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Manuscript Details - IJCIRAS1239

ManuScript Details
Paper Id: IJCIRAS1239
Title: CLASSIFICATION ALGORITHM: WEB FIREWALL
Published in: International Journal Of Creative and Innovative Research In All Studies
Publisher: IJCIRAS
ISSN: 2581-5334
Volume / Issue: Volume 3 Issue 4
Pages: 15
Published On: 9/3/2020 10:25:44 PM      (MM/dd/yyyy)
Main Author Details
Name: Muhammad Saidu Aliero
Institute: ICT, Kebbi State University of Science and Technology Aliero, Nigeria
Co - Author Details
Author Name Author Institute
Bilyaminu Isah Shamaki National Space Research and Development Agency, Nigeria
Abdulazeez Muhammad Bello Waziri umaru federal polytechnic birnin kebbi, Nigeria
Ibrahim abubakar Asset management department Nigerian deposit insurance corporation, Nigeria
Bashar Umar Kangiwa Department of computer science, Kebbi State University of Science and Technology Aliero, Nigeria
Abstract
Research Area: Computer Science & Engineering
KeyWord: Web Application SQL Injection Firewall Classification
Abstract: SQL Injection Attack (SQLIA) is one of the most severe attacks that can be used against web database driven applications. Attackers’ use SQLIA to get unauthorized access and perform un-authorize data modification as result of improper input validation by web application developers. Various studies have shown that average of 64% of web application of worldwide are vulnerable to SQLIA as result of their vulnerability. To mitigate the devastating problem of SQLIA, this research proposed web application firewall for SQL injection Attack (SQLIA) that protects unauthorized users from SQLIA. Recent study shows that there is need for improving effectiveness of existing SQLIA firewall to reduce the Loss of data, getting vital information and risk of being attack as result of inaccurate false negative and false positive result reported by the SQLIA. The research focus on improving effectiveness of SQLIA firewall by proposing web application firewall for blind and tautology SQLIA in order to help minimizing of false positive an false negative result as well as to provide the room for improving proposed SQLIA by the potential researchers. To test and validate the accuracy of research work, three vulnerable web applications were developed with different type of vulnerabilities and accuracy metric were used to analyze the result of three experiments. The result of analysis shows significant improvement by achieving 88.8%. Accuracy for the first experiment, 77% accuracy for the second experiment and 73% accuracy for the third experiment and overall of 79.6%.
Citations
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IEEE
Muhammad Saidu Aliero, Bilyaminu Isah Shamaki, Abdulazeez Muhammad Bello , Ibrahim abubakar , Bashar Umar Kangiwa , "CLASSIFICATION ALGORITHM: WEB FIREWALL", International Journal Of Creative and Innovative Research In All Studies, vol. 3, no. 4, pp. 11-25, 2020.
MLA Muhammad Saidu Aliero, Bilyaminu Isah Shamaki, Abdulazeez Muhammad Bello , Ibrahim abubakar , Bashar Umar Kangiwa "CLASSIFICATION ALGORITHM: WEB FIREWALL." International Journal Of Creative and Innovative Research In All Studies, vol 3, no. 4, 2020, pp. 11-25.
APA Muhammad Saidu Aliero, Bilyaminu Isah Shamaki, Abdulazeez Muhammad Bello , Ibrahim abubakar , Bashar Umar Kangiwa (2020). CLASSIFICATION ALGORITHM: WEB FIREWALL. International Journal Of Creative and Innovative Research In All Studies, 3(4), 11-25.
CLASSIFICATION ALGORITHM: WEB FIREWALL
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Last downloaded on 27/09/2020
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