Replication Package: Adaptive Behavioral Fingerprinting for Cloud–IoT Malware Behavior Detection and Containment
Year: 2026
Type: software
Abstract: Replication package for the paper "Adaptive Behavioral Fingerprinting for Cloud–IoT Malware Behavior Detection and Containment", submitted to the Journal of Computer Virology and Hacking Techniques. The package covers two experimental environments. The first is network telemetry: eight sequential experiments on TON_IoT and CSE-CIC-IDS2018, including significance testing, calibrated temporal evaluation, window-level attack holdout, drift-triggered adaptation and cross-dataset transfer. The second is orchestration telemetry: a replication study on a real three-node Kubernetes cluster (kind v0.27.0, Kubernetes v1.32.2) with enforced RBAC and API-server audit logging, producing 44,592 genuine audit events and 2,228 entity-time windows. Contents: the Colab notebook for the network experiments; cluster configuration and audit policy; the activity-generation script; seven analysis scripts numbered in execution order; the derived feature table so the analysis can be reproduced without rebuilding the cluster; all consolidated JSON results; and the publication figures at 300 DPI. Every number reported in the paper is reproducible from this package.
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203689360