MP-Mediator: Detecting and Handling the New Stealthy Delay Attacks on IoT Events and Commands

Xuening Xu, Chenglong Fu, Xiaojiang Du

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In recent years, intelligent and automated device control features have led to a significant increase in the adoption of smart home IoT systems. Each IoT device sends its events to (and receives commands from) the corresponding IoT server/platform, which executes automation rules set by the user. Recent studies have shown that IoT messages, including events and commands, are subject to stealthy delays ranging from several seconds to minutes, or even hours, without raising any alerts. Exploiting this vulnerability, adversaries can intentionally delay crucial events (e.g., fire alarms) or commands (e.g., locking a door), as well as alter the order of IoT messages that dictate automation rule execution. This manipulation can deceive IoT servers, leading to incorrect command issuance and jeopardizing smart home safety. In this paper, we present MP-Mediator, which is the first defense system that can detect and handle the new, stealthy, and widely applicable delay attacks on IoT messages. For IoT devices lacking accessible APIs, we propose innovative methods leveraging virtual devices and virtual rules as a bridge for indirect integration with MP-Mediator. Furthermore, a VPN-based component is proposed to handle command delay attacks on critical links. We implement and evaluate MP-Mediator in a real-world smart home testbed with twenty-two popular IoT devices and two major IoT automation platforms (IFTTT and Samsung SmartThings). The experimental results show that MP-Mediator can quickly and accurately detect the delay attacks on both IoT events and commands with a precision of more than 96% and a recall of 100%, as well as effectively handle the delay attacks.

Original languageEnglish
Title of host publicationProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2023
Pages46-62
Number of pages17
ISBN (Electronic)9798400707650
DOIs
StatePublished - 16 Oct 2023
Event26th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2023 - Hong Kong, China
Duration: 16 Oct 202318 Oct 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference26th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2023
Country/TerritoryChina
CityHong Kong
Period16/10/2318/10/23

Keywords

  • IoT
  • delay attack
  • detection
  • handling
  • security

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