Advanced Trace Pattern For Computer Intrusion Discovery

TL;DR

This paper proposes a comprehensive worm trace pattern framework based on logs from multiple OSI layers to improve detection and investigation of malware intrusions, specifically targeting Sasser worm variants.

Contribution

It introduces a novel integrated trace pattern model combining attacker and victim perspectives for malware intrusion analysis.

Findings

Developed a general worm trace pattern for attacker, victim, and multi-step scenarios.

Enhanced detection capabilities for malware based on multi-layer log analysis.

Facilitated forensic investigation and alert correlation through the proposed patterns.

Abstract

The number of crime committed based on the malware intrusion is never ending as the number of malware variants is growing tremendously and the usage of internet is expanding globally. Malicious codes easily obtained and use as one of weapon to gain their objective illegally. Hence, in this research, diverse logs from different OSI layer are explored to identify the traces left on the attacker and victim logs in order to establish worm trace pattern to defending against the attack and help revealing true attacker or victim. For the purpose of this paper, it focused on malware intrusion and traditional worm namely sasser worm variants. The concept of trace pattern is created by fusing the attacker's and victim's perspective. Therefore, the objective of this paper is to propose a general worm trace pattern for attacker's, victim's and multi-step (attacker/victim)'s by combining both perspectives. These three proposed worm trace patterns can be extended into research areas in alert correlation and computer forensic investigation.