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Nikolaos Kekatos

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Preprint Oct 2026

A Resilient Runtime-Verification Fabric for Security Monitoring of Critical Edge-IoT Infrastructure

Protecting critical infrastructure increasingly depends on continuously verifying large IoT fleets against formal security specifications at runtime. Yet the runtime-verification (RV) pipelines proposed for this task are typically single-host prototypes whose monitors read a shared log file, with no resilience to the f...

Nikolaos Kekatos, Marinelio Chintri, Panagiotis Katsaros et al. · 4 citations
Preprint Oct 2026

Hierarchical Security Monitoring for Edge-IoT: A Formal Methods Approach

Cyber resiliency in edge-IoT deployments is fundamentally an economic problem: detection must keep critical processes operating under attack, but defender resources (compute, bandwidth, operator attention) are bounded. Centralised cloud monitoring offers expressive cross-device detection at prohibitive bandwidth cost;...

Nikolaos Kekatos, Marinelio Chintri, Panagiotis Katsaros et al. · 6 citations
#artificial intelligence Preprint Oct 2026

Multi-Aspect Runtime Verification for Simulation-Based V&V of LLM-Enabled Autonomous Agents

LLM-based agents are entering decision-support roles in defence staff work, where the obligations they must respect are already written down and binding, and where retraining is not available as a control because models arrive as procured components. What can be placed under engineering control is the interface between...

Nikolaos Kekatos, D. Nikou, Anastasios Temperekidis et al. · 0 citations
#artificial intelligence Review Oct 2026

From Sandbox to Enforcement: Confidence-Qualified Threat Intelligence for Critical Infrastructure

Security operations centres and national incident-response teams defending critical infrastructure collect abundant threat data yet struggle to turn it into actionable intelligence. A malware sandbox produces detailed behavioural evidence, but as a large, unranked report whose confidence is unstated. We present CG-CTI,...

Nikolaos Kekatos, Mihaela Curcă, Georgios Koutidis et al. · 0 citations
Book Open access Oct 2026

Formal Runtime Verification for Tool-Using LLM Agents: An Offline Same-Benchmark Study on AgentDojo and STAC

Guardrails for tool-using LLM agents are usually application-specific rules, which makes multi-step, data-dependent safety policies hard to specify, audit and reuse. As a declarative alternative, we evaluate metric first-order temporal logic (MFOTL), replaying the recorded trajectories that AgentDojo, STAC and R-Judge...

Nikolaos Kekatos, Stylianos Basagiannis, Marinelio Chintri et al. · 2 citations
#small language model Preprint Oct 2026

Preparing an AI-Augmented SIEM for the EU Cyber Resilience Act: A Practitioner Case Study

This case study documents a CRA preparedness pilot for one such product, SEUXDR, an AI-augmented security monitoring product with a large-language-model active-response component on the open-source CYBERFORT platform, and offers practitioners a replicable starting point for translating CRA legal text into operational p...

Georgios Koutidis, Nikolaos Kekatos, Marina Korgiala-Karyda et al. · 0 citations
#federated learning Preprint Oct 2026

Quantifying the Privacy Posture of Operator-Side 5G/O-RAN Profiles

This work quantifies privacy posture with k-anonymity, l-diversity and t-closeness, aggregate them into a composite Privacy-Posture Index (PPI), and measures residual re-identification across eight transformation configurations on internal PCAP captures and the public Idaho Labs 5GAD corpus.

Nikolaos Kekatos, Apostolos Valiakos, Alexios Lekidis et al. · 0 citations

SoK: Formal Methods for Fact-Checking and Information Integrity

This work organises the field of automated fact-checking by what is being formalised instead, which gives five levels: the claim, the reasoning, the system doing the checking, the ecosystem the claim spreads through, and the regulatory obligation.

Nikolaos Kekatos, Theodoros Nestoridis, Charalampos Bratsas et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Architecting the Secure AI-SOC: A Neurosymbolic Framework for Pipeline Integrity and Threat Mitigation

A novel neurosymbolic defense-in-depth architecture that ensures end-to-end pipeline integrity and dismantles the promptware kill chain, bounding LLM stochasticity with verifiable constraints, and delivering a resilient, highly observable defense mechanism for next-generation AI-SOCs.

Anna Gazani, Spyridon Kounoupidis, Panagiotis Katsaros et al. · 0 citations
#artificial intelligence Preprint Jul 2026

Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric

Swarms of LLM-assisted autonomous robots are increasingly proposed for cooperative intelligence, surveillance, and reconnaissance (ISR) in contested environments. A growing class of their assurance failures arises not within any single platform but across the swarm: individually-compliant actions compose into a mission...

Nikolaos Kekatos, Stylianos Basagiannis, Panagiotis Katsaros et al. · 0 citations

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