Thesis/Dissertation: Marek Laššák: Comparison of data-oriented and process-oriented approaches for insider attack detection from audit logs
Bachelor's thesis
Comparison of data-oriented and process-oriented approaches for insider attack detection from audit logs
Abstract
Táto práca skúma a porovnáva automatizované procesne a dátovo orietované metódy, konkrétne dolovanie procesov (process mining) a hĺbkovú analýzu dát (data mining), a diskutuje o ich využiteľnosti pri detekcií interných útokov (insider attacks) na základe auditovacích záznamov poskytnutých spoločnosťou Safetica Technologies s.r.o. Teoretická časť práce poskytuje náhľad do problematiky interných hrozieb …more
Abstract
This thesis studies and compares the automatized process-oriented and data-oriented methods, namely process mining and data mining, and discusses their applicability for insider attack detection from the audit log data provided by Safetica Technologies s.r.o. The theoretical part presents an overview of the insider threat domain. Subsequently, it introduces the fields of process mining and data mining …more
Thesis description
The student will then implement the detection of insider attacks in these scenarios using data-oriented and process-oriented approach. Afterward he will compare these approaches for this task and provide a discussion about their usefulness.
20/5/2022 14:56, RNDr. Martin Macák, Ph.D., UČO 410452
ČSN ISO 690-compliant citation record
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