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Detecting Malware In Memory With Memory Object Relationships, Demarcus M. Thomas Sr.
Detecting Malware In Memory With Memory Object Relationships, Demarcus M. Thomas Sr.
Theses and Dissertations
Malware is a growing concern that not only affects large businesses but the basic consumer as well. As a result, there is a need to develop tools that can identify the malicious activities of malware authors. A useful technique to achieve this is memory forensics. Memory forensics is the study of volatile data and its structures in Random Access Memory (RAM). It can be utilized to pinpoint what actions have occurred on a computer system.
This dissertation utilizes memory forensics to extract relationships between objects and supervised machine learning as a novel method for identifying malicious processes in a system …