Authors: Vrizlynn L. L. Thing, Kian-Yong Ng, AND Ee-Chien Chang



In this paper, we proposed an automated system to perform a live memory forensic analysis for mobile phones. We investigated the dynamic behavior of the mobile phone’s volatile memory, and the analysis is useful in real-time evidence acquisition analysis of communication-based applications. Different communication scenarios with varying parameters were investigated. Our experimental results showed that outgoing messages (from the phone) have a higher persistency than the incoming messages. In our experiments, we consistently achieved a 100% evidence acquisition rate with outgoing messages. For the incoming messages, the acquisition rates ranged from 75.6% to 100%, considering a wide range of varying parameters in different scenarios. Hence, in a more realistic scenario where the parties may occasionally take turns to send messages and consecutively send a few messages, our acquisition can capture most of the data to facilitate the further detailed forensic investigation.