The Next Generation of Robust Linux Memory Acquisition Technique via Sequential Memory Dumps at Designated Time Intervals

Abstract

The memory forensics techniques assist digital investigators to identify and detect remaining evidence of the attacks on the compromised system. The accuracy of performing the analysis is depend to the completeness, atomicity, and reliability of the memory acquisition output. Regarding to our research, the most current critical challenges in memory forensics are increasing the size of physical memory, the elapsed time of memory acquisition, malicious tampering and page smearing effects, and anti-forensics techniques. By addressing these challenges, we proposed an approach to determine approximately how much sequential memory acquisition at a designated time-intervals can mitigate them. This mitigation includes reducing I/O operations in memory acquisition to speed it up, diminishing malicious tampering and page smearing effects, and impact of anti-forensics techniques. The results of our experiments on different Linux operating system families show the best interval time for sequential memory acquisition is 3 minutes with the similarity ration between 9% to 23%. The proposed approach is applicable to software-based and hardware-based memory acquisition methods.