Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 5 of 5 for “"Opcode"”.

  1. A Malware Classification Method Based on the Multi-Layer Feature Fusion of Malware Image Representations and Opcode Markov Images

    … based on the fusion of image representation and opcode features. By integrating the features of image-based malware representation and opcode Markov image, the classification performance is enhanced. Specifically, our model introduces two feature fusion modules: a cross-attention-based fusion …

    uwtsd Repository record for A Malware Classification Method Based on the Multi-Layer Feature Fusion of Malware Image Representations and Opcode Markov Images (opens in a new tab)

  2. Dynamic analyses of malware

    … for detecting malware using dynamic runtime opcodes. Previous work in the field has faltered on inadequately sized and poorly sampled datasets. A novel run-trace dataset is presented, the largest in the literature to date. Using this dataset, malware detection using opcode analysis is shown …

    qu-belfast Repository record for Dynamic analyses of malware (opens in a new tab)

  3. Compilation techniques for short-vector instructions

    … of short-vector instructions that apply the same opcode to a vector of operands. This design introduces a data-parallel component to processors that exploit instruction-level parallelism, and presents an opportunity for increased performance. In fact, ignoring a processor's vector opcodes can …

    mit Repository record for Compilation techniques for short-vector instructions (opens in a new tab)

  4. Machine learning approaches for malware classification based on hybrid artefacts

    … distinct feature sets, such as imported modules, opcodes, and API calls, which can improve performance in binary and multi-class classification problems. This thesis proposes a method for identifying and analyzing malware samples via static and dynamic approaches, including memory analysis and …

    waikato-masters Repository record for Machine learning approaches for malware classification based on hybrid artefacts (opens in a new tab)

  5. Statistical Tools for Linking Engine-Generated Malware to Its Engine

    … use the w-gram frequency vector (NFV) of the opcode mnemonics of an engine-generated malware in- stance as a feature vector for the instance. An NFV is a tuple that maps «-grams with their frequencies. The in-formation contained within the NFV of an engine-generated malware instance is then …

    columbus-state Repository record for Statistical Tools for Linking Engine-Generated Malware to Its Engine (opens in a new tab)