Development and Evaluation of a Dataset Generator Tool for Generating Synthetic Log Files Containing Computer Attack Signatures

Abstract

A key requirement for experimental analysis in the areas of network intrusion and computer forensics is the availability of suitable datasets. However, the inherent security and privacy issues surrounding these disciplines have resulted in a lack of available “test-bed” datasets for testing and evaluation purposes. Typically, the datasets required in these cases are from system log files, containing traces of computer misuse. Therefore, there is obvious potential for the use of synthetically generated log files that can accurately reproduce these traces or patterns of misuse. This paper discusses the development, testing, and evaluation of a dataset generator tool, designed to produce such datasets, particularly those containing patterns of common computer attacks.

Foreword

“…Emplea técnicas de clasificación para la predicción del rendimiento de los estudiantes, establece criterios para el pre-procesamiento de datos y ajuste de algoritmos para resolver los problemas de calidad de los datos (Quinn & Gray, 2019;O'Shaughnessy & Gray, 2011;Gray et al, 2016).…”

A Real-Time Intrusion Detection and Protection System at System Call Level under the Assistance of a Grid

“…Computer Forensics science is one kind of computer security technologies that analyzes what attackers have done, like sending computer viruses, malware and malicious codes, or issuing Distributed Denial-of-Service (DDoS for short) attacks. O'Shaughnessy et al [3] acquired particular network intrusion and attack patterns from a system log file. The datasets required are extracted from system log files, containing the traces of computer misuse.…”