Ontology-Based Smart Sound Digital Forensics Analysis for Web Services

Ontology-Based Smart Sound Digital Forensics Analysis for Web Services

Aymen Akremi, Mohamed-Foued Sriti, Hassen Sallay, Mohsen Rouached
ISBN13: 9781799830252|ISBN10: 179983025X|EISBN13: 9781799830269
DOI: 10.4018/978-1-7998-3025-2.ch033
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MLA

Akremi, Aymen, et al. "Ontology-Based Smart Sound Digital Forensics Analysis for Web Services." Digital Forensics and Forensic Investigations: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2020, pp. 497-520. https://doi.org/10.4018/978-1-7998-3025-2.ch033

APA

Akremi, A., Sriti, M., Sallay, H., & Rouached, M. (2020). Ontology-Based Smart Sound Digital Forensics Analysis for Web Services. In I. Management Association (Ed.), Digital Forensics and Forensic Investigations: Breakthroughs in Research and Practice (pp. 497-520). IGI Global. https://doi.org/10.4018/978-1-7998-3025-2.ch033

Chicago

Akremi, Aymen, et al. "Ontology-Based Smart Sound Digital Forensics Analysis for Web Services." In Digital Forensics and Forensic Investigations: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 497-520. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-3025-2.ch033

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Abstract

The big data generated by today Web services makes very fastidious and time-consuming the investigators logs management and analysis tasks. This is due partly to the lack of an efficient web service dedicated log data representation. We introduce, in this paper, an extensible standard based semantic ontology representation of Web service log data to identify hidden information and extract eventual scenario of Cyber-attacks in the web logs. The proposed ontology supports the Web service specification and it satisfies the forensics and admissibility requirements. Through a friendly graphical user interface, the investigator can define validation rules and queries and execute them using a logical reasoner over the proposed ontology to get some comprehensive forensic report ready to present to the court. We also showed how the proposed ontology can facilitate the investigator analysis task, reduce required time, and enhance the forensics process comprehensiveness.

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