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A Knowledge Graph Question Answering Approach to IoT Forensics

Published: 09 May 2023 Publication History

Abstract

Internet of Things (IoT) forensics has been a particularly challenging task for forensic practitioners due to the heterogeneity of IoT environments as well as the complexity and volume of IoT data. With the advent of artificial intelligence, question-answering (QA) systems have emerged as a potential solution for users to access sophisticated forensic knowledge and data. In this light, we present a novel IoT forensics framework that employs knowledge graph question answering (KGQA). Our framework enables investigators to access forensic artifacts and cybersecurity knowledge using natural language questions facilitated by a deep-learning-powered KGQA model. The proposed framework demonstrates high efficacy in answering natural language questions over the experimental IoT forensic knowledge graph.

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  • (2024)Mapping the Current Status of CTI Knowledge Graphs through a Bibliometric AnalysisProceedings of the 13th Hellenic Conference on Artificial Intelligence10.1145/3688671.3688738(1-6)Online publication date: 11-Sep-2024

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cover image ACM Conferences
IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation
May 2023
514 pages
ISBN:9798400700378
DOI:10.1145/3576842
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 09 May 2023

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Author Tags

  1. Digital Forensics
  2. Internet of Things
  3. Knowledge Graph
  4. Ontology Design
  5. Question Answering

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  • (2024)Mapping the Current Status of CTI Knowledge Graphs through a Bibliometric AnalysisProceedings of the 13th Hellenic Conference on Artificial Intelligence10.1145/3688671.3688738(1-6)Online publication date: 11-Sep-2024

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