Automated Penetration Testing Tools Using AI

A tétel rövid nézete
dc.contributor.advisorOláh, Norbert
dc.contributor.authorHussein, Walid Ashraf Ibrahim Abdelaziz Mohamed
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2026-02-12T19:00:43Z
dc.date.available2026-02-12T19:00:43Z
dc.date.created2025-11-12
dc.description.abstractThis thesis presents the design and implementation of a lightweight AI-powered penetration testing tool that demonstrates how automation and artificial intelligence can enhance cybersecurity assessment. The system integrates traditional scanning methods, such as network and web application analysis, with a rule-based AI engine that evaluates vulnerabilities, assigns risk scores, and generates remediation recommendations. Built in Python using a modular architecture, each component operates independently to ensure flexibility, extensibility, and clarity in function. The project emphasizes explainable AI rather than complex machine learning, making it suitable for educational and experimental use. Comprehensive testing confirmed the tool’s reliability, accuracy, and efficiency, highlighting its value as both a practical learning framework and a foundation for future advancements in automated security testing.
dc.description.courseProgramtervező informatikus
dc.description.degreeBSc/BA
dc.format.extent55
dc.identifier.urihttps://hdl.handle.net/2437/404454
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectARTIFICIAL INTELLIGENCE
dc.subjectPENETRATION TESTING
dc.subjectCYBERSECURITY TOOLS
dc.subjectVULNERABILITY ANALYSIS
dc.subjectRISK ASSESSMENT
dc.subject.dspaceInformatics::Computer Science
dc.titleAutomated Penetration Testing Tools Using AI
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
thesis.pdf
Méret:
474.4 KB
Formátum:
Adobe Portable Document Format
Leírás:
thesis
Megjelenítés
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
license.txt
Méret:
1.95 KB
Formátum:
Item-specific license agreed upon to submission
Leírás:
Letöltés
Gyűjtemények
Theses (IK)