Memory Forensic Analysis of MQTT Devices
Anal Shah, Palak Rajdev, Jaidip Kotak

TL;DR
This paper explores forensic analysis techniques for MQTT-based IoT devices, demonstrating how to extract sensitive data from devices running MQTT brokers and clients to improve security investigations.
Contribution
It introduces methods for memory forensic analysis specific to MQTT devices, highlighting how to retrieve sensitive information from their memory.
Findings
Sensitive data can be extracted from MQTT device memory
Memory analysis reveals potential security vulnerabilities
Method enhances forensic capabilities for IoT security
Abstract
Internet of Things is revolutionizing the current era with its vast usage in number of fields such as medicine, automation, home security, smart cities, etc. As these IoT devices' uses are increasing, the threat to its security and to its application protocols are also increasing. Traffic passing over these protocol if intercepted, could reveal sensitive information and result in taking control of the entire IoT network. Scope of this paper is limited to MQTT protocol. MQTT (MQ Telemetry Transport) is a light weight protocol used for communication between IoT devices. There are multiple brokers as well as clients available for publishing and subscribing to services. For security purpose, it is essential to secure the traffic, broker and end client application. This paper demonstrates extraction of sensitive data from the devices which are running broker and client application.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Malware Detection Techniques · IoT and Edge/Fog Computing · Digital and Cyber Forensics
