Paper2023
Material reviewed: AbstractThe paper describes implementing a honeypot on Azure Services as a supplement to customary cloud security measures, listing advantages such as prompt attack detection, recognition of attack methods, and safeguarding critical data. The authors outline steps including selecting a virtual machine, installing and configuring honeypot software, deploying monitoring and logging, establishing security groups, running a penetration test, and consistently monitoring the honeypot.
CloudHoneypot
Paper2023
Material reviewed: Full textCritical readingProposes a simulation method for evaluating honeypots and moving target defense in networks.
NetworkHoneypotMoving target defense
Paper2023
Material reviewed: AbstractThe authors present a method for selecting cyber deception strategies using a multi-stage Flipit game, aiming to account for defense timing alongside spatial strategy selection. The approach constructs a spatiotemporal decision-making model, introduces a discount factor and transition probabilities, and applies a Proximal Policy Optimization algorithm to compute defender strategies.
NetworkDecoyMoving target defense
Paper2023
Material reviewed: AbstractThe authors propose a signaling game framework between a defender and an insider human agent, using quantum decision theory to exploit cognitive biases and counter insider attacks. The defender deceives the attacker by luring them toward decoy sensors via generators that produce perceptions of classical signals. According to the authors, results show that strategically designed generators can worsen the attacker's ability to identify decoys compared to schemes without generators.
IdentityDecoyAdversary engagement
Paper2023
Material reviewed: Publisher metadataDOI-identified publication on injecting honeytokens using Netfilter; text analysis is pending.
NetworkHoneytoken
Paper2023
Material reviewed: AbstractThe authors present HoneyEVSE, a honeypot designed to simulate Electric Vehicle Supply Equipment (EVSE) within the Vehicle-to-Grid paradigm. The system emulates the charging process and login pages with high fidelity to increase attacker engagement. They exposed the honeypot for 30 days on the Internet and report it successfully evaded the Shodan Honeyscore metric while attracting numerous interactions.
IoTOT/ICSHoneypotDecoy
Paper2023
Material reviewed: AbstractThe authors present HoneyIoT, an adaptive high-interaction honeypot for IoT devices that uses a real-device attack trace collection system and reinforcement learning to model and generate convincing responses. According to the paper, differential analysis techniques mutate response values for high fidelity, and after deployment on the public Internet, reported experiments show the system evades pre-attack checks and honeypot detection tools.
IoTHoneypot
Paper2023
Material reviewed: AbstractThe authors propose a game-theoretic approach for optimal honeypot allocation in tactical networks with dynamic connectivity. They model a two-player dynamic game accounting for future network state evolution, aiming to maximize the attacker's likelihood of hitting a honeypot while minimizing reconfiguration costs. They present an iterative algorithm to find Nash equilibrium strategies and evaluate its scalability through simulations.
NetworkHoneypotDecoy
Paper2023
Material reviewed: AbstractThis thesis presents a honeypot solution to investigate malicious activity in the heiCLOUD environment, showing according to the author a significant increase in attacks. A new concept is proposed to detect firewall leaks in restricted network zones, along with a method for detecting honeypots at the transport level from an attacker's perspective. A customized OpenSSH server is also presented as an intermediary instance to mitigate such efforts.
CloudNetworkHoneypotAdversary engagement
Paper2023
Material reviewed: AbstractThis report reviews the concepts and types of honeypots, which organizations use as decoy networks to lure attackers, and discusses challenges of deploying them along with advantages and disadvantages.
NetworkHoneypotDecoy
Paper2023
Material reviewed: AbstractThe work addresses honeyword generation: fake passwords that accompany the real password (the "sugarword") in a password-cracking detection system, where a honeychecker distinguishes the real password from the fake ones. The authors describe a honeyword generation method based on a proposed discrete salp swarm algorithm (SSA), a bio-inspired metaheuristic, and present the proposed methodology alongside experimental results compared with previous strategies.
IdentityHoneytokenDecoy
Paper2023
Material reviewed: AbstractThe authors propose a ransomware detection method based on behavior and deception, using decoy files and directories to reveal malicious activity. The paper describes a pilot study with Locky.
Decoy
Paper2023
Material reviewed: AbstractThe paper by Adam Putra and Ade Eviyanti addresses the security of website form inputs against SQL-injection attacks, and describes the honeypot method as a system or computer deliberately used as bait to become a target for attackers. The authors present this method as a way to prevent website security attacks.
ApplicationHoneypot
Paper2023
Material reviewed: AbstractThe authors propose a deep learning based method to generate synthetic IoT device traffic flows mimicking real traffic, aiming to improve IoT honeypots against attacker detection. According to the abstract, the generator outperforms prior approaches in remaining indistinguishable from real traffic.
IoTNetworkHoneypotDecoy
Paper2023
Material reviewed: Publisher metadataBibliographic record on deception against autonomous attacks. The abstract and findings still require review.
NetworkDecoy
Paper2023
Material reviewed: AbstractThe authors propose a planning framework to generate a defense strategy that covertly guides an attacker toward a trap state, formulating the problem as an infinite-horizon discounted MDP whose optimal policy serves as the defender's strategy. According to the abstract, this formulation is applicable to systems such as honeypots or honeynets, and the authors report empirically evaluating the merits of their approach.
NetworkHoneypotAdversary engagement
Paper2023
Material reviewed: AbstractThe authors investigate using ChatGPT to automatically reply to scam emails in order to waste scammers' time and resources through pointless communications. According to the abstract, preliminary results show ChatGPT can decoy scammers.
ApplicationDecoyAdversary engagement
Paper2023
Material reviewed: AbstractThe authors propose a backdoor-resistant fine-tuning procedure for pretrained language models, integrating a 'honeypot' module designed to exclusively absorb backdoor information present in poisoned training samples. By penalizing the information captured by this module during fine-tuning, the authors report a reduction in backdoor attack success rate compared to prior methods.
ApplicationHoneypot
Paper2023
Material reviewed: AbstractThe authors describe symbSODA, an active cyber deception system that analyzes real-world malware using multipath execution to extract Malicious Sub-graphs composed of WinAPIs and map them to ATT&CK tactics and techniques, in order to construct and execute customized deception playbooks. Its stated purpose is to let users create conflict-free deception plans and automate deception orchestration within a deceptive environment.
EndpointDecoyAdversary engagement
Paper2023
Material reviewed: AbstractThe paper proposes an ethics framework, termed the doctrine of cyber effect, to guide the design of defensive cyber deception. It incorporates five ethical principles (goodwill, deontology, no-harm, transparency, and fairness) and presents the game of ethical duplicity as a reasoning framework applicable to designing defensive cyber deception techniques.
NetworkAdversary engagement
Paper2023
Material reviewed: AbstractThis study, according to its authors, investigates whether honeypots and honeynets described in the literature actually incorporate autonomic computing principles, beyond the use of terms like adaptive or intelligent. The authors analyze the frequency of keywords related to self-configuration, self-healing, self-protection, and self-optimization in a literature sample, finding low presence of the first three and notable presence of the latter.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThis paper describes information acquired from a Secure Shell honeypot, including plaintext login credentials and attack data. The authors present a low-interaction honeypot aimed at organizations with limited resources that records, analyzes and sends notifications about suspicious network traffic, with the stated goal of encouraging the development and adoption of practical honeypot solutions.
NetworkHoneypot
Paper2022
Material reviewed: AbstractThe authors propose a cyber deception defense method based on a signal game, aimed at dealing with network intrusions. The work describes a moving target defense (MTD) enhanced deception mechanism and a signal game model with an equilibrium solution method to guide defense strategy selection, evaluated by the authors through experimental results.
NetworkMoving target defenseDecoy
Paper2022
Material reviewed: Public pageProposes a hybrid framework with two types of honeypots to relieve the flaws of each type and offer the benefits of both, aiming to detect and mitigate DDoS attacks against a webserver.
NetworkHoneypot