Semantic Representation and Integration of Digital Evidence

Dosis, Spyridon; Homem, Irvin; Popov, Oliver

doi:10.1016/j.procs.2013.09.214

Cited by 20 publications

(8 citation statements)

References 10 publications

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“…It is worth mentioning that the approach presented in (Dosis et al, 2013) is similar to our approach from the "representation of evidence" point of view. That is, in both approaches the ontology is used to model an environment under investigation (specifically a computer in Dosis's approach and smartphone in our approach).…”

Section: Related Workmentioning

confidence: 89%

“…With regards to works related to the representation and analysis of digital evidence, the authors in (Dosis, Homem, & Popov, 2013) have presented ontologies that model concepts related to computer storage media and network traffic data. The former is used to encode knowledge related to different types of storage media (such as hard disks, USB sticks, and SD cards) and file systems.…”

Section: Related Workmentioning

confidence: 99%

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The Use of Ontologies in Forensic Analysis of Smartphone Content

Alzaabi¹,

Martin²,

Taha³

et al. 2015

JDFSL

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Digital forensics investigators face a constant challenge in keeping track with evolving technologies such as smartphones. Analyzing the contents of these devices to infer useful information is becoming more time consuming as the volume and complexity of data are increasing. Typically, such analysis is undertaken by a human, which makes it dependent on the experience of the investigator. To overcome such impediments, an automated technique can be utilized in order to aid the investigator to quickly and efficiently analyze the data. In this paper, we propose F-DOS; a set of ontologies that models the smartphone content for the purpose of forensic analysis. F-DOS can form a knowledge management component in a forensic analysis system. Its importance lies in its ability to encode the semantics of the smartphone content using concepts and their relationships that are modeled by F-DOS.

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Section: Related Workmentioning

confidence: 89%

Section: Related Workmentioning

confidence: 99%

The Use of Ontologies in Forensic Analysis of Smartphone Content

Alzaabi¹,

Martin²,

Taha³

et al. 2015

JDFSL

View full text Add to dashboard Cite

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“…Semantic description of evidence has been tackled in the field of digital investigations for automating the process of integration of evidence [33], which often relies on expertise of expert practitioners who manually perform this task. Dosis et al [33] in their work describe their ontology-based method to integrate digital evidence. They have specified a number of ontologies for describing sources of evidence commonly used in digital investigations, such as storage media and network traffic.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Assurance About Cloud Service Provision Promises

D’Errico

Pearson

2016

IFIP Advances in Information and Communication Technology

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…The aim of this is to automate otherwise manual tasks of correlating data from different heterogeneous sources in order to pose valid assertions based on the data that could assist a forensic analyst in performing their duties of making sense of digital artifacts. This functionality is described in more detail by Dosis in [20].…”

Section: The Law Enforcement Controller Systemmentioning

confidence: 99%

The Network Factor in Proactive Digital Evidence Acquisition

Homem¹,

Dosis²,

Popov³

2015

IJICR

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While cybercrime proliferates-becoming more complex and surreptitious-the tools and techniques used in performing digital investigations are still seriously lagging behind, effectively slowing down law enforcement agencies at large. In this paper we briefly describe the architecture of a comprehensive proactive digital investigation system that is termed as the Live Evidence Information Aggregator (LEIA). Particular focus is made on the importance of the efficiency of network communication in such a system in order to retrieve potentially evidentiary information remotely and with immediacy. We demonstrate the live evidence capturing capabilities of such a system highlighting the necessity for better throughput through the use of Peer-to-Peer Systems.

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Semantic Representation and Integration of Digital Evidence

Cited by 20 publications

References 10 publications

The Use of Ontologies in Forensic Analysis of Smartphone Content

The Use of Ontologies in Forensic Analysis of Smartphone Content

Enhanced Assurance About Cloud Service Provision Promises

The Network Factor in Proactive Digital Evidence Acquisition

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