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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Internet of Things (IoT) devices are increasingly prevalent in homes, creating potential cybersecurity vulnerabilities.
  • Despite security measures, IoT devices can be targeted by cyberattacks due to inherent weaknesses.
  • Domain Name Server (DNS) traffic is a primary communication channel for IoT devices, often transmitting data in plain text.

Purpose of the Study:

  • To conduct a detailed analysis of DNS traffic generated by IoT devices in home environments.
  • To identify unique characteristics of IoT DNS queries that could be exploited by attackers.
  • To propose a method for mitigating security risks associated with IoT DNS traffic.

Main Methods:

  • Analysis of Domain Name Server (DNS) traffic patterns from Internet of Things (IoT) devices.
  • Examination of queried domain names, query volume, and transmission protocols (User Datagram Protocol/UDP port 53).
  • Evaluation of the security implications of plain text DNS queries and excessive traffic generation.

Main Results:

  • IoT DNS queries exhibit highly distinctive domain patterns, allowing for easy identification of specific device types.
  • An unexpectedly high volume of repetitive DNS queries was observed.
  • Plain text transmission of DNS queries over UDP port 53 amplifies the risk of device identification and targeted attacks.

Conclusions:

  • The distinctive and high-volume DNS traffic from IoT devices poses a significant security risk, enabling easier device identification and targeted cyberattacks.
  • Excessive DNS traffic can escalate the compromise of the entire IoT ecosystem.
  • Implementing DNS caching on IoT devices is a viable measure to reduce traffic, prevent device type identification, and enhance user privacy.