"NodeMemForensics Experimental Dataset: Docker Container Memory Dumps and Attack Scenarios"

"This comprehensive dataset contains experimental artifacts and results from NodeMemForensics\u2014a specialized memory forensic toolkit designed specifically for Docker containerized Node.js microservices. It includes: (1) natively compressed memory dumps from three distinct TypeScript services (api-gateway, auth-service, and data-service) recorded across four specific attack scenarios (Token Injection, Code Injection, Secret Exposure, and Transient Buffer); (2) ground-truth manifests describing all deliberately injected indicators during the experiments; (3) extracted artifact reports provided in both JSON and HTML formats; and (4) V8 memory parser outputs alongside cross-container correlation results. The dataset directly enables the reproducibility of container-level memory forensic analysis, precise quantification of V8 garbage collector behavior, and rigorous validation of artifact detection patterns. The total size of the archive is approximately 1.2GB when compressed. It is primarily used to evaluate memory acquisition timing constraints and the practical limits of forensic artifact recovery in ephemeral, cloud-native containerized environments."