Paper2022
Material reviewed: AbstractAccording to the authors' abstract, this paper proposes a game-theoretic and reinforcement learning approach to incentivize collaboration among UAVs in low/medium interaction honeypot defense, addressing optimal contract design under partial and complete information asymmetry. The authors state that simulations show improved cooperation and defensive effectiveness compared to conventional schemes.
NetworkIoTHoneypotAdversary engagement
Paper2022
Material reviewed: AbstractThe paper introduces honeypots, their classification by purpose and interaction, and compares open-source tools across various aspects. Its purpose is to help readers protect resources from intruders using freely available network security tools.
NetworkHoneypot
Paper2022
Material reviewed: Public pageThe paper describes a honeypot architecture combining social-network recruitment, decoy websites and warning messages to study prevention of online child exploitation. The authors document educational studies using legal content without hosting child exploitation material.
ApplicationHoneypot
Paper2022
Material reviewed: AbstractAmid information systems' growing exposure to cyber attacks, intrusion attempts and sophisticated malware, the author frames a need for organisations to better understand the actors behind threats and the methods they employ in order to improve their threat intelligence strategy. The article presents the use of a honeypot as one solution for gathering information about the specific cyberthreats an organisation faces.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe paper describes an experiment design in which a hacker infiltrates a server and escalates privileges, and presents the Honeypsy system to correlate the hacker's recorded actions with experience, personality, and psychology. The system combines a Big-5 personality test, a cyber expertise test, and a capture-the-flag (CTF) event with a deployed honeypot to collect activity logs, with the stated aim of predicting the expertise and personality of unknown hackers and supporting the development of defense strategies.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe study aims to secure IoT devices by using a Raspberry Pi as a honeypot to imitate those devices, check user intent, and analyze attack patterns. The authors implemented the Cowrie, Dionaea, and Glastopf honeypots on Raspberry Pi 4B to cover vulnerable protocols and record attacks.
IoTHoneypot
Paper2022
Material reviewed: AbstractAccording to the authors' abstract, this paper uses attack-defense games to examine whether disguising normal servers as honeypots is beneficial. It compares three scenarios with varying levels of deception techniques and concludes, per the authors, that disguising real servers does not always yield better defender rewards and may increase the cost of maintaining normal nodes.
NetworkHoneypotDecoy
Paper2022
Material reviewed: AbstractThe article proposes EA-POT, an explainable AI-assisted permissioned blockchain framework for predicting potential defaulters' IP addresses, registering those IPs in a blockchain database based on explainable AI suggestions and IP authorizer approval to enhance immutability. The authors carried out experiments in an IoT Cloud research laboratory using three prediction models (Random Forest, Linear Regression, and SVM) and describe a procedure that incorporates interpretable knowledge while blacklisting IPs that reach HoneyPots.
IoTCloudHoneypot
Paper2022
Material reviewed: AbstractThis work proposes EVHS, an elastic virtual honeypot system for SDNFV-based networks, aimed at flexibly managing and controlling honeypots. The system uses a network intrusion detection system at the network border to detect attacks, leverages SDN and NFV to generate honeypots, and employs a moving-target defense mechanism to connect attackers to these honeypots, while also reusing available honeypots after attacks are handled.
NetworkHoneypotMoving target defense
Paper2022
Material reviewed: AbstractThis survey reviews and categorizes honey-X-based defense strategies, such as honeypots and honeytokens, which use deception to gather threat intelligence and protect networks. The authors also examine their combination with moving target defense, game theory and machine learning, and outline security quantification, challenges and future directions.
NetworkHoneypotHoneytoken
Open software2022
Material reviewed: Repository metadataIMAP or SMTP honeypot written in Golang
NetworkHoneypot
Paper2022
Material reviewed: AbstractThis study examines how the proportion of honeypots deployed in a network influences an adversary's decisions, using a deception game with two consecutive stages: probe and attack. Participants were randomly assigned to conditions with small, medium, or large honeypot proportions, and the authors report that as the honeypot proportion increased, honeypot-directed and no-attack actions increased dramatically.
NetworkHoneypotAdversary engagement
Paper2022
Material reviewed: AbstractThe paper addresses intrusion detection and cloud security and proposes using honeypots to divert malicious traffic away from systems. The authors describe implementing the honeypot concept in a file-sharing application deployed on a cloud server, aiming to detect attacks and improve security in that environment.
CloudApplicationHoneypot
Open software2022
Material reviewed: Repository metadataLongitudinal Analysis of SSH Cowrie Honeypot Logs
NetworkHoneypot
Paper2022
Material reviewed: AbstractThis paper describes the deployment of medium-interaction honeypots across five different protocols on the public Internet to study the intent and sophistication of observed attacks. The authors propose a clustering approach that identifies correlations in attacker behavior to detect IP addresses likely controlled by a single operator, highlighting the usefulness of these honeypots for data collection.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe authors propose a text-based method to investigate and analyze bot loaders using high-interaction honeypots. They collect request logs, define eight loader families via agglomerative clustering, and analyze functional homology using sequence alignment techniques, revealing, according to the study, evolutionary relationships among botnet infrastructures such as Mirai.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe paper describes a security framework for multi-cloud environments aimed at diverting an attacker and gaining time to analyze and mitigate intrusions. The proposed mechanism consists of modules for managing the multi-cloud platform, an intrusion detection and prevention system, and honeypots, with detection results compared in a two-phase scenario.
CloudNetworkHoneypotDecoy
Paper2022
Material reviewed: AbstractThis paper reviews existing tools for monitoring P2P botnets, categorizing mechanisms as active (crawlers) and passive (sensors and honeypots). According to the authors, the purpose is to study ways to monitor a botnet and how these monitoring mechanisms work, presenting prior work on each approach.
NetworkHoneypot
Paper2022
Material reviewed: AbstractReview article that provides an overview of cyber security and discusses machine learning, cyber threats and honeypot system-based techniques for intrusion detection and the study of network attacks. The authors describe honeypots as conceptual traps intended to block unauthorised access and to give analysts insights into the origins and behaviours of such attacks.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe work proposes integrating a honeypot sensor with a software-defined network (SDN) and classifying distributed denial-of-service attacks via semi-supervised learning, combining a pseudo-labelling model based on a support vector machine with subsequent classification using Adaptive Boosting. The evaluation reported by the authors uses monitoring data from the Suricata sensor and examines accuracy, precision, recall, CPU usage, and flow-rule mitigation times.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe authors describe a Spark-based honeypot system designed, implemented, and tested on a campus network over several days, intended to draw intruders toward a resource that simulates a fully resourced computer or vault. The study presents a performance analysis of that deployment based on parameters defined by the authors.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe authors describe a TaintDroid-based honeypot monitoring system for embedded devices, in which TaintDroid marks attackers who break into the honeypot and their behavior is then monitored and recorded. The work also reports a feasibility test of the system built by the authors.
IoTEndpointHoneypot
Paper2022
Material reviewed: AbstractThe paper describes setting up a honeypot on a cloud service and analyzing the activity it captures. It then applies machine learning algorithms to predict the type of threat detected in the honeypots.
CloudHoneypot
Paper2022
Material reviewed: Public pageThe paper proposes an intrusion detection framework combining CAPTCHA, honeypots and supervised learning. Honeypots would be integrated into a website to lure malicious software, and the diagram sketches realistic decoy pages and decoy fields.
ApplicationNetworkHoneypotDecoy