Taming the Security-Energy Paradox: A Green AI Approach to Optimized Android Malware Detection

arXiv:2607.20003 · cs.CR, cs.AI, cs.LG · Submitted 2026-07-22 · Read on arXiv

Shrinidhi Sridhar, Vikas K. Malviya

cs.CR, cs.AI, cs.LG

Submitted: 2026-07-22

Comments: 6 pages, 1 figure

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 16× in this paper · explained in 1 episode
Quantization — 14× in this paper · explained in 12 episodes
Deep Learning — 8× in this paper
Energy Efficiency — 8× in this paper · explained in 3 episodes
Core — 6× in this paper · explained in 2 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Multi-Layer Perceptron — 4× in this paper
Benchmarking — 3× in this paper · explained in 3 episodes
Abstraction — 2× in this paper · explained in 1 episode
Android Virtual Device — 2× in this paper
Hardware Abstraction Layer — 2× in this paper
Resource Constraints — 2× in this paper · explained in 3 episodes
Activation Function — 1× in this paper · explained in 1 episode
Calibration — 1× in this paper · explained in 7 episodes
Edge Devices — 1× in this paper · explained in 2 episodes
Matthews Correlation Coefficient — 1× in this paper
Pruning — 1× in this paper · explained in 4 episodes
Representation Learning — 1× in this paper · explained in 2 episodes

Sources

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