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A Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT) for Human-Centric Cybersecurity

Researchers from the University of Alicante and other institutions introduced the Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT), a framework mapping cybersecurity side-channel attacks and active vectors to psychophysiological measurement and neurostimulation techniques, at the Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS) in June 2026 in Alicante, Spain. The paper, authored by Cengiz Acarturk, Melike Çağlayan, Ece Caglayan, and Anna Wilkosz, proposes that AI can serve as a translational layer to parse noisy biological data into actionable metrics or automate closed-loop attacks, suggesting novel threat vectors in human-centric cybersecurity.

read1 min views2 publishedJul 31, 2026
A Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT) for Human-Centric Cybersecurity
Image: Aclanthology (auto-discovered)
[A Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT) for Human-Centric Cybersecurity](https://aclanthology.org/2026.nlpaics-1.15.pdf)

[Cengiz Acarturk](/people/cengiz-acarturk/),
[Melike Çağlayan](/people/melike-caglayan/unverified/),
[Ece Caglayan](/people/ece-caglayan/unverified/),
[Anna Wilkosz](/people/anna-wilkosz/unverified/)
Abstract

Neuroscientists and cyber threat actors operate on a "black box" paradigm, relying on both the passive measurement of physical exhaust to infer hidden internal states, and the active injection of targeted stimuli to disrupt or manipulate those systems. This paper introduces the Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT), a theoretical framework that maps cybersecurity side-channel attacks and active vectors to psychophysiological measurement and neurostimulation techniques. It proposes that AI can serve as a translational layer to parse noisy biological data into actionable metrics or automate closed-loop attacks, suggesting the potential of novel threat vectors in human-centric cybersecurity.- Anthology ID:

- 2026.nlpaics-1.15
- Volume:

Proceedings of the Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security- Month:

[NLPAICS](/venues/nlpaics/)- SIG:
- Publisher:
  • Department of Languages and Information Systems, University of Alicante
- Note:
- Pages:
  • 143–155
- Language:
- URL:
[https://aclanthology.org/2026.nlpaics-1.15/](https://aclanthology.org/2026.nlpaics-1.15/)- DOI:
- Cite (ACL):
[A Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT) for Human-Centric Cybersecurity](https://aclanthology.org/2026.nlpaics-1.15/)(Acarturk et al., NLPAICS 2026)- PDF:
[https://aclanthology.org/2026.nlpaics-1.15.pdf](https://aclanthology.org/2026.nlpaics-1.15.pdf)
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