Deep Learning for Domain Name System
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Updated
Jan 14, 2022 - Python
Deep Learning for Domain Name System
DNS tunneling implemented in Python
Deep Learning Based DNS Tunneling Detection and Blocking System. Published with the same title. Publication code : aece 3/2021 - 5
Creating a tool for the accurate detection of DNS Tunneling queries using Cache Miss properties and Machine Learning Models.
DNSTun is a CoreDNS plugin for detecting DNS tunneling
Detection of malware bot and botnet activities over DNS / Master's Thesis
Describes an architecture for DNS Tunneling detection at AWS cloud using ELK.
Dynamic Time Warping for DNS Tunneling and Data Exfiltration
DNS Incident Response
Development of an Accurate DNS Tunneling Detection Tool Using Cache Miss Properties and Machine Learning Models
SIEM-based exfiltration detection - Wazuh + Suricata + SLIPS + MITRE ATT&CK
Convolutional neural network to detect DNS tunneling
Iranian APT DNS-transport C2 research. Investigation into Cavern Manticore / Project CAV3RN infrastructure, yielding a novel RFC 2308 non-compliance fingerprint for DNS-transport C2 servers. Two unreported relays documented from public data. Sigma, KQL, Suricata, sweep tooling. Graded evidence, full retraction log.
Foresight is a machine learning model designed to predict and defend against adversarial attacks, specifically DNS tunneling attacks targeting AI systems.
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