Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction

Attackers tend to use complex techniques such as combining multi-step, multi-stage attack with anti-forensic tools to make it difficult to find incriminating evidence and reconstruct attack scenarios that can stand up to the expected level of evidence admissibility in a court of law. As a solution,...

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Bibliographic Details
Main Authors: Changwei Liu, Anoop Singhal, Duminda Wijesekera
Format: Article
Language:English
Published: Association of Digital Forensics, Security and Law 2014-09-01
Series:Journal of Digital Forensics, Security and Law
Online Access:http://ojs.jdfsl.org/index.php/jdfsl/article/view/278
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author Changwei Liu
Anoop Singhal
Duminda Wijesekera
author_facet Changwei Liu
Anoop Singhal
Duminda Wijesekera
author_sort Changwei Liu
collection DOAJ
description Attackers tend to use complex techniques such as combining multi-step, multi-stage attack with anti-forensic tools to make it difficult to find incriminating evidence and reconstruct attack scenarios that can stand up to the expected level of evidence admissibility in a court of law. As a solution, we propose to integrate the legal aspects of evidence correlation into a Prolog based reasoner to address the admissibility requirements by creating most probable attack scenarios that satisfy admissibility standards for substantiating evidence. Using a prototype implementation, we show how evidence extracted by using forensic tools can be integrated with legal reasoning to reconstruct network attack scenarios. Our experiment shows this implemented reasoner can provide pre-estimate of admissibility on a digital crime towards an attacked network.
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spelling doaj.art-505f11734dd24ad6a821c7e5253941ac2022-12-22T01:19:22ZengAssociation of Digital Forensics, Security and LawJournal of Digital Forensics, Security and Law1558-72151558-72232014-09-0192181196179Relating Admissibility Standards for Digital Evidence to Attack Scenario ReconstructionChangwei Liu0Anoop Singhal1Duminda Wijesekera2George Mason UniversityNational Institute of Standards and TechnologyGeorge Mason UniversityAttackers tend to use complex techniques such as combining multi-step, multi-stage attack with anti-forensic tools to make it difficult to find incriminating evidence and reconstruct attack scenarios that can stand up to the expected level of evidence admissibility in a court of law. As a solution, we propose to integrate the legal aspects of evidence correlation into a Prolog based reasoner to address the admissibility requirements by creating most probable attack scenarios that satisfy admissibility standards for substantiating evidence. Using a prototype implementation, we show how evidence extracted by using forensic tools can be integrated with legal reasoning to reconstruct network attack scenarios. Our experiment shows this implemented reasoner can provide pre-estimate of admissibility on a digital crime towards an attacked network.http://ojs.jdfsl.org/index.php/jdfsl/article/view/278
spellingShingle Changwei Liu
Anoop Singhal
Duminda Wijesekera
Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
Journal of Digital Forensics, Security and Law
title Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
title_full Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
title_fullStr Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
title_full_unstemmed Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
title_short Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
title_sort relating admissibility standards for digital evidence to attack scenario reconstruction
url http://ojs.jdfsl.org/index.php/jdfsl/article/view/278
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