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Showing 1 to 8 of 8 for “"Memory forensics"”.

  1. VADViT:Vision Transformer-Driven Memory Forensics for Malicious Process Detection and Explainable Threat Attribution

    … detection, necessitating advanced memory forensic techniques. Machine learning offers potential but struggles with outdated feature sets, large memory data handling, and forensic explainability. To address these challenges, we propose VADViT, a vision-based transformer model that …

    york Repository record for VADViT:Vision Transformer-Driven Memory Forensics for Malicious Process Detection and Explainable Threat Attribution (opens in a new tab)

  2. Convicted by memory: Automatically recovering spatial-temporal evidence from memory images

    <p>Memory forensics can reveal “up to the minute” evidence of a device’s usage, often without requiring a suspect’s password to unlock the device, and it is oblivious to any persistent storage encryption schemes, e.g., whole disk encryption. Prior to my work, researchers and investigators alike …

    purdue-thes Repository record for Convicted by memory: Automatically recovering spatial-temporal evidence from memory images (opens in a new tab)

  3. Improving Digital Forensics and Incident Analysis in Production Environments by Using Virtual Machine Introspection

    Main memory forensics and its special form, virtual machine introspection (VMI), are powerful tools for digital forensics and can be used to improve the security of computer-based systems. However, their use in production systems is often not possible. This work identifies the causes and offers …

    passau-thes Repository record for Improving Digital Forensics and Incident Analysis in Production Environments by Using Virtual Machine Introspection (opens in a new tab)

  4. Artificial Intelligence for Android Stealth-Attack Detection: A Digital Forensics Approach

    … an attacker can have access to the main memory where data is stored in clear text e.g., encryption keys. Over the years, various static and dynamic analysis techniques (both without and with execution) have been developed, particularly automatic detection systems based on Artificial …

    cagliari Repository record for Artificial Intelligence for Android Stealth-Attack Detection: A Digital Forensics Approach (opens in a new tab)

  5. Bridging the gap: Applying machine learning techniques in digital forensics

    … Virtual Machine Introspection (VMI) and Forensic Memory Analysis (FMA) are two key cybersecurity methods for addressing these threats. While FMA leverages digital forensic techniques to extract and analyse information from system memory to explain security incidents, VMI typically works with live …

    passau-thes Repository record for Bridging the gap: Applying machine learning techniques in digital forensics (opens in a new tab)

  6. THE SCALABLE AND ACCOUNTABLE BINARY CODE SEARCH AND ITS APPLICATIONS

    … techniques (vulnerability identification and memory analysis) in terms of scalability and accuracy. In order to demonstrate its benefits, I address two issues of code search by using the code analysis: scalability and accountability. I further demonstrate the benefit of code search by applying …

    syracuse-diss Repository record for THE SCALABLE AND ACCOUNTABLE BINARY CODE SEARCH AND ITS APPLICATIONS (opens in a new tab)

  7. Remembering Arkansas Debate: The Use of Collective Memory in Analyzing the Role of Intercollegiate Debate at the University of Arkansas

    … According to the framework of collective memory, the production and dissemination of these stories is what connects the past, present, and future of a debate team together.</p> <p>I first reconstruct the history of debate at universities, beginning with development of debate at the …

    arkansas Repository record for Remembering Arkansas Debate: The Use of Collective Memory in Analyzing the Role of Intercollegiate Debate at the University of Arkansas (opens in a new tab)