Enhancing Malware Detection Efficiency via Feature Engineering Mind Map

Feature Selection

Filter Methods

Wrapper Methods

Embedded Methods

Feature Importance

Feature Transformation

Normalization/Standardization

Discretization

Encoding

Evaluation

Performance Metrics

Computational Cost Analysis

Enhancing Malware Detection Efficiency via Feature Engineering⚙️🔬

EfficiencyFeature EngineeringOptimization

Feature Extraction

Dimensionality Reduction

Hashing

Feature Aggregation

Efficient Feature Representation

Sparse Features

Binary Features

LBP & GMM for Malware Images💻📊

GMMImage ProcessingLBP

LBP Feature Extraction: Compute LBP histograms for efficient texture representation.

Binary Encoding: Represent LBP histograms using binary codes for compactness.

GMM for Feature Modeling: Utilize GMM to model the distribution of LBP features, potentially using a sparse representation for the model parameters.

Sparse Representation: Employ techniques like sparse coding or dictionary learning to further reduce the dimensionality and achieve sparse feature representation.