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January 1, 2026International Journal of Applied Systemic Studies

Comparative analysis: ant lion and whale optimisation algorithms for enhanced android malware detection

K. Balu Siva Sri Kumar Jagadish Gurrala

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Key Points

This research aims to compare the effectiveness of ant lion and whale optimisation algorithms in detecting Android malware.
Conducted a comparative analysis of ant lion and whale optimisation algorithms.
Implemented algorithms in an Android malware detection framework.
Evaluated detection accuracy and performance metrics.
The whale optimisation algorithm demonstrated a higher detection rate compared to the ant lion algorithm.
Significant performance differences were observed, favouring whale optimisation in malware detection tasks.

Implication

Comparative analysis shows enhanced malware detection in Android systems, suggesting superior algorithm performance.

Abstract

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Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/69df2c88e4eeef8a2a6b1c2c https://doi.org/10.1504/ijass.2026.10077660

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Phishing Websites Detection based on Metaheuristic Optimisation and Ensemble AlgorithmsOriginal Research · 2025
2Hybrid optimised deep learning model for detecting malicious nodes in mobile networkOriginal Research · 2026
3Exploring enhanced swarm intelligence algorithms for efficient cyber foraging on transient mobile cloudsOriginal Research · 2026
4An Enhanced Model of Whale Optimization Algorithm and K-nearest Neighbors for Malware Detection2024 · 8 citations
5An efficient load balancing strategy using modified grey wolf optimiser for cloud computingOriginal Research · 2026

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