Paper2026
Material reviewed: AbstractThe authors introduce ICSLure, a modular honeynet framework intended to emulate realistic industrial control system environments. It integrates physical PLCs with live data sources over industrial protocols and virtualized network components, with monitoring to log attacker interactions.
OT/ICSNetworkHoneypotAdversary engagement
Paper2026
Material reviewed: AbstractThis paper studies how to improve shell emulation accuracy of local open-weight LLM-based SSH honeypots through prompt design and supervised fine-tuning, comparing eight models against their base versions. Using 34 automated unit tests, the authors report that prompt design has a large effect and that fine-tuning effectiveness depends on dataset coverage, with an expanded dataset built from honeypot logs producing stronger local models according to their own measurements.
NetworkEndpointHoneypot
Paper2026
Material reviewed: AbstractThis study examines international differences in hacking attempts using honeypot data, analyzing 504,877 login attempts from 314 unique IP addresses over a 3-month period. The authors test hypotheses based on socio-economic factors — unemployment, poverty, GDP and education expenditures — and attribute to higher unemployment and lower education expenditures a correlation with more breach attempts per country, and to lower education expenditures a correlation with higher success rates of breach attempts.
NetworkHoneypot
Paper2026
Material reviewed: AbstractThis paper presents a noise-aware measurement study of Internet-facing DICOM services, combining IPv4-wide active scanning with passive honeypot deployments. The authors introduce a reproducible method to filter false positives caused by honeypots, network telescopes, and other measurement artifacts, reducing apparent exposure by 39%. After filtering, they identify thousands of vulnerable deployments lacking encryption and authentication, finding that existing deception systems are insufficient to capture the actual risks.
NetworkApplicationHoneypotDecoy
Paper2026
Material reviewed: AbstractThe study implements a deception-driven security model (D-DSM) for a campus network environment, with decoy resources managed through a centralized deception mechanism. It aims to divert malicious activity away from critical assets, provide indicators of attack behavior, and complement existing defense-in-depth controls by improving visibility of advanced and lateral attacks while helping reduce false alerts.
NetworkDecoyAdversary engagement
Paper2026
Material reviewed: AbstractThis work studies how large language model (LLM)-based penetration testing agents can allocate their execution budget when encountering honeypots. The authors formalize the attacker's problem as a budgeted decision process in which the agent must decide whether to continue exploitation or skip a target upon honeypot suspicion, proposing a detector-guided policy evaluated in a controlled mixed-host testbed.
NetworkEndpointHoneypotAdversary engagement
Paper2026
Material reviewed: AbstractThe paper proposes an LLM-enabled cloud-native dynamic honeypot architecture in which the model acts only as a text synthesizer behind policy gating and state verification. The authors describe a session broker that classifies attacker commands rather than executing them, alongside ethical governance controls and an evaluation protocol.
CloudNetworkHoneypotAdversary engagement
Open software2026
Material reviewed: Repository metadataAn SMTP Honeypot
NetworkHoneypot
Open software2026
Material reviewed: Repository metadataLet's be scanned. A low-interaction honeypot focused on network scanners and bots. It integrates very well with IVRE to build a self-hosted alternative to GreyNoise.
NetworkHoneypot
Open software2026
Material reviewed: Repository metadataMimicry is a dynamic deception tool that actively deceives an attacker during exploitation and post-exploitation.
NetworkDecoy
Paper2026
Material reviewed: AbstractThe authors present Mirage Mesh, a lightweight cyber deception framework for Linux environments that applies deception-in-depth across four layers: an SSH decoy built on Cowrie, a system-layer decoy administrative account, a fake Flask web administration interface, and a data-layer honeytoken credential file. The work proposes a shared DecoyAlertEvent schema to normalize observations from these layers, process them through a Wazuh-based detection and active-response pipeline with Python orchestration, map them to cyber kill-chain stages and MITRE ATT&CK techniques, and evaluate them with a Deception Effectiveness Metric (DEM).
NetworkEndpointHoneypotHoneytoken
Community or education2026
Material reviewed: Public pageSeptember 2026 program offering time-limited deception-platform access for non-commercial research; eligibility is listed at the source.
NetworkHoneypotHoneytoken
Paper2026
Material reviewed: AbstractThis paper, according to its authors, reviews AI-based solutions for building network- and device-level cyber deception methods in contested environments. It focuses on combining large language models (LLMs) and reinforcement learning (RL) to optimize deception strategies such as honeypots and honeynets, and examines their validation against stealthy attacks on operational technology (OT) systems reported in the literature.
NetworkOT/ICSHoneypotDecoy
Paper2026
Material reviewed: AbstractThe authors present a cyber-risk management framework for networked digital systems combining strategic game behavior with contagion dynamics. The study addresses optimal cybersecurity resource allocation considering heterogeneous node valuations by attackers and defenders, proposing contagion-path-based risk measures and analyzing cyber deception effects through numerical experiments.
NetworkDecoy
Open software2026
Material reviewed: Repository metadatanodejs ftp honeypot
NetworkHoneypot
Paper2026
Material reviewed: AbstractThis paper presents Ollure, a low- and medium-interaction honeypot that emulates the Ollama API without a backend LLM, as described by the authors. Deployed across four locations over 84 days, it recorded hundreds of thousands of interactions from thousands of source IP addresses. The study documents automated discovery and fingerprinting activity, as well as concrete exploitation attempts against both the infrastructure and LLM layers.
NetworkApplicationHoneypotDecoy
Paper2026
Material reviewed: AbstractThis paper introduces PHANTOM, a framework for generating honeytokens that encode organisation-specific knowledge (domain names, naming conventions, technology idioms, and secret-value distributions) through a multi-component generation pipeline. The authors propose a four-component Believability Score and use it to compare PHANTOM against a template-based baseline across several token types and organisational contexts.
NetworkApplicationHoneytoken
Paper2026
Material reviewed: AbstractThe work describes the design of a portable wireless honeypot using a Raspberry Pi to detect and analyze SSH brute-force attacks. By simulating a vulnerable SSH service with the Cowrie honeypot, the system logs login attempts and attacker behavior in real time to study attack patterns and improve security measures.
NetworkHoneypot
Open software2026
Material reviewed: Repository metadataPort listener / honeypot in Rust with protocol guessing and safe string display
NetworkHoneypot
Open software2026
Material reviewed: Repository metadataHoneypot detection toolkit
NetworkHoneypot
Paper2026
Material reviewed: AbstractThis thesis proposes game-theoretic and optimisation-based models for hardening Active Directory attack graphs. According to the authors, it introduces a honeypot/decoy placement model that minimises shortest paths and Domain Admin-reachable nodes, along with strategies accounting for the dynamic nature of the graph and adaptive prioritisation models incorporating administrator feedback. The authors note that the underlying problems are computationally intractable.
IdentityNetworkHoneypotDecoy
Paper2026
Material reviewed: AbstractThis work proposes Federated TGCN-A2C, an architecture integrating temporal graph convolutional networks, LSTM-based digital twins, and a federated actor-critic agent to decide between allowing, isolating, or redirecting traffic to honeypots in IoT/IoMT devices. The authors report evaluations on public cybersecurity datasets along with explainability analysis supporting the system's decision-making.
IoTNetworkHoneypotAdversary engagement
Paper2026
Material reviewed: AbstractThe authors discuss applying reinforcement learning to improve response generation in honeypots and propose Q-Cowrie, a customization of the medium-interaction Cowrie honeypot intended to increase deception and support adaptive decisions while interacting with attackers. They report two experimental studies, one deploying Cowrie to capture attacks and model attacker decision-making with a Markov decision process, and another using Q-Cowrie to support adaptive interaction.
NetworkHoneypotAdversary engagement
Paper2026
Material reviewed: AbstractThe study proposes QuantumGuard, a proactive cybersecurity framework that combines cognitive honeynets, post-quantum-secured intelligence channels and reinforcement-learning-driven deception adaptation across 6G-enabled cyber-physical environments. The authors aim to integrate a cognitive honeynet orchestrator, a deception policy engine operating under partial observability, a transformer-based MITRE ATT&CK attribution network and a post-quantum federated intelligence bus into a single closed-loop control architecture, and they report a preliminary evaluation on benchmark datasets and a 320-endpoint testbed.
NetworkIoTHoneypotDecoy