User-Contributory Case-Based Reasoning for Digital Forensic Investigations

Graeme Horsman; Christopher Laing; Paul Vickers

doi:10.1109/EST.2012.35

User-Contributory Case-Based Reasoning for Digital Forensic Investigations

Graeme Horsman, Christopher Laing, Paul Vickers

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

A novel concept for approaching digital investigations is presented. User-contributory case-based reasoning (UCCBR) is a method by which previous results from digital forensic (DF) examinations are stored and reused in future investigations. The advantages of a UCCBR system are discussed which include implementing UCCBR as an auditing tool, a method for optimizing evidence retrieval and anomalous file detection.

Original language	English
DOIs	https://doi.org/10.1109/EST.2012.35
Publication status	Published - 2012
Event	Third International Conference on Emerging Security Technologies - Lisbon, Portugal Duration: 1 Jan 2012 → …

Conference

Conference	Third International Conference on Emerging Security Technologies
Period	1/01/12 → …

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10.1109/EST.2012.35

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abstract = "A novel concept for approaching digital investigations is presented. User-contributory case-based reasoning (UCCBR) is a method by which previous results from digital forensic (DF) examinations are stored and reused in future investigations. The advantages of a UCCBR system are discussed which include implementing UCCBR as an auditing tool, a method for optimizing evidence retrieval and anomalous file detection.",

author = "Graeme Horsman and Christopher Laing and Paul Vickers",

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AU - Laing, Christopher

AU - Vickers, Paul

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AB - A novel concept for approaching digital investigations is presented. User-contributory case-based reasoning (UCCBR) is a method by which previous results from digital forensic (DF) examinations are stored and reused in future investigations. The advantages of a UCCBR system are discussed which include implementing UCCBR as an auditing tool, a method for optimizing evidence retrieval and anomalous file detection.

U2 - 10.1109/EST.2012.35

DO - 10.1109/EST.2012.35

M3 - Paper

T2 - Third International Conference on Emerging Security Technologies

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ER -

User-Contributory Case-Based Reasoning for Digital Forensic Investigations

Abstract

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