AN INTELLIGENT WEB APPLICATION FIREWALL FUZZING FRAMEWORK INTEGRATED WITH BLOCKCHAIN TECHNOLOGY FOR SECURE PAYLOAD ANALYSIS AND TRACEABILITY.
Web Application Firewalls (WAFs) perform as a dangerous security component protecting web applications from various attack vectors. However, their effectiveness against modern evasion techniques remains a significant concern in cybersecurity. This paper presents an intelligent WAF fuzzing framework...
| Publicado en: | Scientific Culture Vol. 12; no. 1; pp. 189 - 203 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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University of the Aegean
2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=191958877&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 191958877 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24080071 I6HU jtl: Scientific Culture issn: 24080071 maglogo: N pubinfo: dt: 2026 vid: 12 iid: 1 pid: 47715 pub: University of the Aegean artinfo: ui: 191958877 10.5281/zenodo.18092759 ppf: 189 ppct: 14 formats: tig: atl: AN INTELLIGENT WEB APPLICATION FIREWALL FUZZING FRAMEWORK INTEGRATED WITH BLOCKCHAIN TECHNOLOGY FOR SECURE PAYLOAD ANALYSIS AND TRACEABILITY. aug: au: Laila, Dena Abu Obeidat, Ibrahim Moh’d Aman, Mohammed Altubaishe, Bandar Z. Odeh, Mahmoud Samara, Ghassan affil: Department of Cybersecurity, Zarqa University, Zarqa Technical Intermediate College, Zarqa, Jordan. Department of Information Technology, Faculty of Prince Al-Hussein Bin Abdullah II for Information Technology, The Hashemite University, P.O. Box 330127, Zarqa 13133, Jordan. Department of Industrial Engineering, College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia. Supply Chain Management Department, University of Business and Technology, Jeddah, Saudi Arabia. Department of Cybersecurity, Faculty of Information Technology, Zarqa University, Amman, Jordan. Department of Computer Science, Zarqa University, Zarqa, Jordan. su: Firewalls (Computer security) Blockchains Machine learning Internet security SQL sug: subj: Firewalls (Computer security) Blockchains Machine learning Internet security SQL keyword: Blockchain Security Consensus Validation Fuzzing Framework Payload Generation Vulnerability Assessment Web Application Firewall ab: Web Application Firewalls (WAFs) perform as a dangerous security component protecting web applications from various attack vectors. However, their effectiveness against modern evasion techniques remains a significant concern in cybersecurity. This paper presents an intelligent WAF fuzzing framework that incorporate blockchain technology for secure logging, traceability, and comprehensive analysis of payload evasion attempts. Our proposed system employs an adaptive payload gen- eration engine that utilizes machine learning algorithms to create modern attack vectors that target SQL injection, cross-site scripting (XSS), and command injection vulnerabilities. The framework conducts systematic fuzzing attacks against many WAFprotected sites while logging each attempt in an unchangeable blockchain record, ensuring tamper-proof audit trails. Through comprehensive experimental evaluation in 12 commercial and open-source WAF solutions using more than 50,000 generated payloads, our framework demonstrates superior capability to identify previously unknown bypass techniques. The integrated analytics dashboard provides a comparative real-time analysis of WAF effectiveness, allowing security researchers to determine protection gaps and understand emerging attack patterns. The results indicate that our intelligent approach achieves a 34% enhancement in evasion detection compared to conventional fuzzing methods while maintaining complete traceability through blockchain integration. The framework successfully identified 347 novel bypass techniques and achieved consensus validation with 99.8% accuracy across distributed invalidator nodes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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