mlsanityData to 7 Oct 2026

On the use of neurosymbolic AI for defending against cyber attacks

arXiv 2408.04996 ↗First posted 9 Aug 2024cs.AI cs.CR cs.LGcited by 3

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Abstract (arXiv)

It is generally accepted that all cyber attacks cannot be prevented, creating a need for the ability to detect and respond to cyber attacks. Both connectionist and symbolic AI are currently being used to support such detection and response. In this paper, we make the case for combining them using neurosymbolic AI. We identify a set of challenges when using AI today and propose a set of neurosymbolic use cases we believe are both interesting research directions for the neurosymbolic AI community and can have an impact on the cyber security field. We demonstrate feasibility through two proof-of-concept experiments.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 30 of its 88 references that are in the map. First posted on arXiv 9 Aug 2024.

Builds on

30 of 88 references.

References · 30

  1. 2019GNNExplainer: Generating Explanations for Graph Neural Networkscited by 735
  2. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  3. 2019Neural Probabilistic Logic Programming in DeepProbLogcited by 389
  4. 2019The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervisioncited by 369
  5. 2017Learning Explanatory Rules from Noisy Datacited by 210
  6. 2020Logic Tensor Networkscited by 197
  7. 2020Logical Neural Networkscited by 118
  8. 2023NeurASP: Embracing Neural Networks into Answer Set Programmingcited by 92
  9. 2021DeepStochLog: Neural Stochastic Logic Programmingcited by 58
  10. 2018Ontology Reasoning with Deep Neural Networkscited by 40
  11. 2022NeuPSL: Neural Probabilistic Soft Logiccited by 34
  12. 2021AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reportscited by 31
18 more
  1. 2023Neurosymbolic Reinforcement Learning and Planning: A Surveycited by 24
  2. 2022Deep Symbolic Learning: Discovering Symbols and Rules from Perceptionscited by 20
  3. 2023PyReason: Software for Open World Temporal Logiccited by 16
  4. 2023AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generationcited by 15
  5. 2023SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detectioncited by 13
  6. 2022Neuro-Symbolic Learning of Answer Set Programs from Raw Datacited by 12
  7. 2023Reliable Natural Language Understanding with Large Language Models and Answer Set Programmingcited by 12
  8. 2022Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Studycited by 11
  9. 2018Temporal Answer Set Programming on Finite Tracescited by 10
  10. 2023STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reportscited by 10
  11. 2022A review of knowledge graph application scenarios in cyber securitycited by 6
  12. 2020An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Centercited by 5
  13. 2021Threat Actor Type Inference and Characterization within Cyber Threat Intelligencecited by 3
  14. 2021Multi-Stage Attack Detection via Kill Chain State Machinescited by 3
  15. 2022Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methodscited by 3
  16. 2023dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoningcited by 3
  17. 2023LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literaturecited by 3
  18. 2022Cybersecurity Playbook Sharing with STIX 2.1cited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunitiescited by 2
  2. 2025Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Surveycited by 1
  3. 2026RefinementEngine: Automating Intent-to-Device Filtering Policy Deployment under Network Constraintscited by 0