Detection of Malicious and Low Throughput Data Exfiltration Over the DNS Protocol

@article{Nadler2019DetectionOM,
  title={Detection of Malicious and Low Throughput Data Exfiltration Over the DNS Protocol},
  author={Asaf Nadler and Avi Aminov and Asaf Shabtai},
  journal={ArXiv},
  year={2019},
  volume={abs/1709.08395}
}

A Statistical Approach to Detecting Low-Throughput Exfiltration through the Domain Name System Protocol

This model eliminates the need for a network analyst to sift through a high volume of DNS queries, by automatically detecting traffic indicative of exfiltration within a network.

DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach

The proposed solution has been evaluated over a 15-day-long experimental session with the injection of traffic that covers the most relevant exfiltration and tunneling attacks: all the malicious variants were detected, while producing a low false-positive rate during the same period.

Real-Time Detection of DNS Exfiltration and Tunneling from Enterprise Networks

This paper develops and evaluates a real-time mechanism for detecting exfiltration and tunneling of data over DNS and shows that the solution is able to identify malicious DNS queries with high accuracy at the enterprise edge.

Monitoring Enterprise DNS Queries for Detecting Data Exfiltration From Internal Hosts

This paper develops and evaluates a real-time mechanism for detecting exfiltration and tunneling of data over DNS, unlike prior solutions that operate off-line or in the network core, that works in real- time at the enterprise edge.

Lightweight Hybrid Detection of Data Exfiltration using DNS based on Machine Learning

A two-layered hybrid approach that uses a set of well-defined features to detect low and slow data exfiltration and tunneling over DNS, which could be embedded into existing stateless-based detection systems to extend their capabilities in identifying advanced attacks.

DNS Tunneling Detection by Cache-Property-Aware Features

This study proposes a DNS tunneling detection method based on the cache-property-aware features and shows that one of the proposed features can efficiently characterize the DNS Tunneling traffic.

DNSxD: Detecting Data Exfiltration Over DNS

This paper addresses the issue of DNS-based data exfiltration proposing a detection and mitigation method leveraging the Software-Defined Network (SDN) architecture and presents the DNSxD application, which is presented and its performance evaluated in comparison with the current ex filtration detection mechanisms.

An Analysis of the Use of DNS for Malicious Payload Distribution

  • Ishmael DubeG. Wells
  • Computer Science
    2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)
  • 2020
This research undertaking analysed the use of the DNS in detecting domains and channels that are used for distributing malicious payloads and found that it is possible to detect malicious payload distribution channels through the analysis of DNS TXT resource records.

Cache-Property-Aware Features for DNS Tunneling Detection

The extensive experiments show that one of the proposed features can clearly distinguish DNS tunneling traffic, which makes it useful to design and implement a solid DNS firewall against DNS tunneled traffic.
...

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