Paper2025
Material reviewed: AbstractAccording to the authors, this paper proposes a bi-level cyber warfare game framework for designing defensive deception mechanisms that exploit the cognitive vulnerabilities of Advanced Persistent Threat (APT) attackers. The approach combines strategic-level deception design with tactical and operational actions, and the authors report numerical improvements in defender rewards through strategically timed deception deployment.
NetworkAdversary engagement
Open software2025
Material reviewed: Repository metadataEditor contributionExperimental framework generating fictitious user profiles and activity for decoy environments; the repository documents narratives, profiles and language-model integration.
EndpointNetworkDecoyAdversary engagement
Paper2025
Material reviewed: AbstractThis work presents a longitudinal analysis of attacker behavior using HoneyTrap, an adaptive honeypot framework deployed across geographically distributed nodes to emulate vulnerable services. According to the authors, more than 60.3 million events were collected over a 24-day window, with data transformed into Parquet format for scalable analytics. The authors report that HTTP/HTTPS traffic and SSH brute-force attacks were predominant, alongside activity targeting less common services like Minecraft and SMB.
NetworkIoTHoneypot
Paper2025
Material reviewed: AbstractThe work addresses classifying CVE vulnerabilities by which are most frequently exploited, using data collected from a T-pot honeypot. The authors describe a data-collection and analysis plan using Elasticsearch, Kibana and Suricata, aimed at identifying vulnerabilities attractive to malicious actors and the risk they pose to Universidad Politécnica Estatal del Carchi.
NetworkHoneypot
Paper2025
Material reviewed: AbstractAccording to the authors, this work proposes the design and implementation of an LLM-based honeypot simulating an LDAP server, a protocol critical to identity and access management in organizations. The proposed solution aims to offer a flexible and realistic tool capable of convincingly interacting with attackers, contributing to early detection and threat analysis.
IdentityNetworkHoneypot
Open software2025
Material reviewed: Repository metadataRepository about DNS simulation; documentation and maintenance require further review.
NetworkHoneypot
Paper2025
Material reviewed: AbstractAccording to the authors, this work introduces EtherBee, a global dataset integrating Ethereum node metrics, network traffic metadata, and honeypot interaction logs collected from ten geographically diverse vantage points over three months. The stated purpose is to correlate node data with network sessions and security events to study benign and malicious activity, node stability, and network-level threats, as well as a case study on geographic concentration from client optimizations.
NetworkHoneypot
Paper2025
Material reviewed: Public pageThe study evaluates LLMs for cybersecurity tasks, including honeypot generation, combining knowledge questions with automated assessment of security artifacts.
NetworkHoneypot
Paper2025
Material reviewed: AbstractThis work uses HackIT, a cybersecurity simulation tool, and a human-subject experiment with 88 computer science students to examine how attacker behavior varies across network topologies (ring vs. star) and honeypot densities (50% vs. 75%). The reported outcomes indicate that increased honeypot density maximized decoy interaction but also led to more real-system attacks in centralized (star) networks, whereas decentralized (ring) networks were more robust with fewer honeypots.
NetworkHoneypotDecoy
Open software2025
Material reviewed: Public pageGenPot is a generative honeypot architecture integrating fine-tuned language models, OpenCanary HTTP skins and a FastAPI service for deployment, evaluation and research. It is an educational and experimental project.
NetworkHoneypot
Open software2025
Material reviewed: Repository metadataSignature based honeypot detector tool written in Golang
NetworkHoneypot
Dataset or lab2025
Material reviewed: Public pageCritical readingCSV of seven days of Suricata events from T-Pot, according to the Zenodo record.
NetworkHoneypot
Paper2025
Material reviewed: AbstractThe authors present the Hybrid Cyber Deception System (HCDS), described as a Python-developed proactive tool that combines honeypots and honeytokens in a dynamically adaptive mode to simulate realistic services and redirect attackers in controlled, instrumented settings. The system integrates a deception-driven alerts correlation engine built on Python, Pandas and Scikit-learn, along with Moving Target Defense principles for continuous modulation of network parameters and decoy distribution, and was tested in a simulated environment with Windows and Ubuntu servers to profile attackers and detect complex attack vectors.
NetworkEndpointHoneypotHoneytoken
Paper2025
Material reviewed: AbstractThis paper presents the implementation of a honeynet in which a honeypot acts as a real resource within a production network environment, aiming to divert and mislead attackers and analyze their behavior. According to the authors, the honeypot mimics both scanners and attackers within a simulated, production-level environment.
NetworkHoneypotDecoy
Paper2025
Material reviewed: AbstractThe authors present LLMHoney, an SSH honeypot that uses large language models (LLMs) to generate realistic, dynamic command outputs in real time, combining a dictionary-based virtual file system with LLMs for novel inputs. According to the abstract, the system was evaluated on 138 representative Linux commands across 13 LLM variants, reporting accuracy, latency, and memory metrics, while discussing challenges such as occasional hallucinated outputs.
NetworkEndpointHoneypotDecoy
Case study2025
Material reviewed: Public pageCritical readingInstitutional report on deception trials involving UK organizations and providers.
NetworkCloudHoneypotDecoy
Paper2025
Material reviewed: AbstractThe article explores Dirichlet distribution topic models for clustering terminal session commands collected from honeypots, aiming to find groups of attacks sharing a common intent and to identify outliers. The authors introduce primary and secondary topics, and session-level and command-level topics, and extend the methods in a Bayesian nonparametric fashion to allow unbounded vocabulary size and number of latent intents.
NetworkHoneypot
Paper2025
Material reviewed: AbstractThe authors propose a neuro-symbolic fusion approach for cognitive threat reasoning in cyber deception environments. It combines deep neural networks with symbolic reasoning, using knowledge graphs, probabilistic logic, and reinforcement learning to identify, predict, and respond to adversaries and to optimize deception strategies.
NetworkDecoyAdversary engagement
Paper2025
Material reviewed: AbstractThe authors describe designing and implementing an active defense system on a DATANET server that combines a honeypot to lure and monitor attacker activity with network obfuscation to mask the real network structure and redirect suspicious traffic. They report that the system detected and diverted attacks without disrupting the main service.
NetworkHoneypot
Paper2025
Material reviewed: AbstractThe study integrates a honeypot into an SD-WAN architecture to combine traffic management and threat observation. The proposal routes anomalous activity into a decoy environment that simulates vulnerable services.
NetworkHoneypotDecoy
Paper2025
Material reviewed: AbstractThis paper presents, according to the authors, the first large-scale real-world evaluation of an LLM-based scambaiting system, designed as a conversational honeypot to engage scammers and extract actionable threat intelligence such as mule bank accounts. Over a five-month deployment, the system initiated thousands of engagements, reporting an information disclosure rate and strong alignment between LLM-generated responses and human operator preferences.
IdentityNetworkHoneypotAdversary engagement
Open software2025
Material reviewed: Repository metadataSpam Honeypot with Intelligent Virtual Analyzer
NetworkHoneypot
Paper2025
Material reviewed: Public pageThe authors review social engineering and describe, among other defenses, honeypots that simulate human interaction, such as email responses or chatbot interactions, to lure and log attack attempts.
NetworkApplicationHoneypot
Paper2025
Material reviewed: AbstractThis study proposes SPADE, a framework that uses generative AI models alongside structured prompt engineering to automate the creation of adaptive cyber deception strategies against dynamic malware. According to the authors, the framework addresses challenges of large language models such as generalized outputs, ambiguity, and scalability constraints, and was evaluated across diverse malware scenarios using metrics like Recall, Exact Match, BLEU, and expert quality assessments, identifying ChatGPT-4o as the top performer.
EndpointNetworkAdversary engagementDecoy