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770published resources

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62 found
Paper2023

Chatbots in a Honeypot World

Material reviewed: Abstract

This paper explores using ChatGPT-style conversational agents as a dynamic honeypot interface, imitating Linux, Mac, and Windows terminal commands and tools like TeamViewer, nmap, and ping. The authors present ten feasibility tasks intended for defensive teams to simulate honeypot interfaces with minimal risk, aiming to delay or understand attacker tactics, techniques, and procedures.

NetworkEndpointHoneypot
Paper2023

symbSODA: Configurable and Verifiable Orchestration Automation for Active Malware Deception

Material reviewed: Abstract

The 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
Paper2022

The TaintDroid Based Honeypot Monitoring System for Embedded Device

Material reviewed: Abstract

The 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

TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing

Material reviewed: Abstract

This paper introduces TSM (Topic Semantic Matching), a metric based on topic modelling and semantic matching in embedding spaces to measure the enticement of honeyfiles relative to local content. According to the authors, it is the first measure using NLP techniques to quantify this enticement robustly against paraphrasing, supported by a honeyfile corpus built with various NLP methods.

EndpointHoneypotDecoy
Paper2021

GPT-2C: A GPT-2 parser for Cowrie honeypot logs

Material reviewed: Abstract

The authors present GPT-2C, a run-time system that leverages the pre-trained GPT-2 model to parse dynamic logs generated by a Cowrie SSH honeypot, addressing interoperability limitations with EDR and SIEM technologies. According to the abstract, the fine-tuned model achieves 89% inference accuracy in the new domain with acceptable execution latency.

NetworkEndpointHoneypot
Paper2021

Inhibiting crypto‐ransomware on windows platforms through a honeyfile‐based approach with R‐Locker

Material reviewed: Abstract

The authors extend their anti-ransomware tool R-Locker to Windows, relying on a honeyfile-based approach in which 'infinite' trap files are disseminated around the target filesystem for early detection and to block ransomware action. The Windows version addresses differences in FIFO handling and adds improved global management of honeyfiles and (semi)automated blocking of suspicious ransomware through the dynamic use of white-/black-lists.

EndpointHoneytokenDecoy
Paper2021

Realistic simulation of users for IT systems in cyber ranges

Material reviewed: Abstract

According to the authors, this paper proposes an approach to generate realistic user activity on IT systems, combining deterministic and deep learning-based methods through an external agent instrumented on each machine. The aim is to improve the credibility of attacker analysis platforms, such as honeynets, and facilitate the creation of coherent scenarios.

NetworkEndpointHoneypotAdversary engagement
Paper2021

Research on IoT Security Defense Based on Honeypot Technology

Material reviewed: Abstract

The paper proposes an intelligent defense method for mobile-terminal unknown threats based on honeypot technology, as deposited by the authors. The approach aims to induce intruders to attack the honeypot terminal in order to delay attacks on the real target and to monitor, collect and analyze attack behavior.

IoTEndpointHoneypot
Paper2020

Active Deception using Factored Interactive POMDPs to Recognize Cyber Attacker's Intent

Material reviewed: Abstract

This paper, according to its authors, presents an adaptive agent that uses active deception to recognize a cyber attacker's intent, modeling the problem as a two-agent sequential decision process via factored I-POMDPs. The authors describe using honeypots and decoys across multiple attack phases to refine predictions about attacker behavior, rather than merely delaying or confusing attackers.

NetworkEndpointHoneypotDecoy
Dataset or lab2020

PANDAcap SSH Honeypot Dataset

Material reviewed: Public page

A set of PANDA traces collected with PANDAcap on a VM configured to accept all passwords for root, intended as a starting point for analyzing SSH brute force attacks. The material is organized into full-system traces, disk images and network captures.

NetworkEndpointHoneypotAdversary engagement
Paper2015

Apate - A Linux Kernel Module for High Interaction Honeypots

Material reviewed: Abstract

This paper presents Apate, a Linux Kernel Module that logs, blocks, and manipulates system calls based on configurable conditions such as PID or UID. According to the authors, Apate serves as a building block to harden high-interaction honeypots and extend attacker interaction without introducing new vulnerabilities.

EndpointHoneypot
Open software2015

ghost-usb-honeypot

Material reviewed: Repository metadata

Repository about capture of USB-propagated malware; documentation and maintenance require further review.

EndpointHoneypot
Paper2013

A Survey on SmartPhone Honeypot

Material reviewed: Abstract

The paper surveys recent research on smartphone honeypots. The authors describe challenges in setting up a smartphone honeypot, the methods used to build it, and the results and recommendations obtained.

EndpointHoneypot
Paper2009

Detection and Prevention of New and Unknown Malware using Honeypots

Material reviewed: Abstract

The authors propose a system that uses honeypots not only to detect malicious traffic but also to generate and broadcast on-the-fly anti-malware signatures for new and unknown malware in a network, mimicking the way malware itself spreads. According to the abstract, this would allow effective initial control over viruses not yet identified by established security firms.

NetworkEndpointHoneypot
Open software—

Antivmdetection

Material reviewed: Repository documentation

Script for generating VirtualBox templates that make virtual machines harder to detect. It can support a less recognizable decoy VM, but the documentation does not present it as a honeypot.

Endpoint
Open software—

Argos

Material reviewed: Repository documentation

Argos is an advertised honeypot using dynamic taint analysis to detect and analyze control flow attacks.

NetworkEndpointHoneypot
Open software—

cowrie-attack (CS6324 Project)

Material reviewed: Repository documentation

An academic project that deploys a honeypot alongside an Elastic stack (Elasticsearch/Kibana) and ElastAlert, including a custom 'MITREAttack' alert that writes information according to the MITRE ATT&CK matrix for detecting and classifying attacks.

NetworkEndpointHoneypot
Product—

Deception.Pro

Material reviewed: Public pageCritical reading

Persistent instrumented environments for malware detonation and adversary observation, according to the platform description.

NetworkEndpointDecoyAdversary engagement
Case study—

Energy Company / Proofpoint Shadow

Material reviewed: Public pageCritical reading

Energy company Shadow adoption story published by Proofpoint; investigation-time reduction is a customer statement reported by the vendor.

EndpointIdentityDecoy
Open software—

honeybits

Material reviewed: Repository documentation

Proof-of-concept tool that places breadcrumbs and decoys, such as fake files and credentials, on servers and workstations to draw attackers toward traps. It is not presented as a honeypot itself.

EndpointIdentityHoneytokenDecoy

Each record shows the source reviewed. Vendor claims and independent results are labeled separately.