arXiv (All)
open access
Power, Performance, and Area of HPC-Based Malware Detectors: An FPGA and Open-PDK ASIC Study
Hardware malware detectors (HMDs) classify programs as benign or malicious based on hardware performance counter (HPC) data. Previous studies have shown that ensemble classifiers outperform other classifiers on detection metrics. However, the area, power, and timing costs of HMDs remain open questio
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Power, Performance, and Area of HPC-Based Malware Detectors: An FPGA and Open-PDK ASIC Study#1291746
- ML-Assisted Power Side-Channel Attacks on ML Accelerators in Shared FPGAs#1327754
- REPLICANT: Learning Policies for Evading and Hardening Malware Detectors#792500
- REPLICANT: Learning Policies for Evading and Hardening Malware Detectors#788500
- Performance Characterization of SPEC CPU 2026 on AMD EPYC 9755 Processor#821560
Record · ID 1296802
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive