Expression of Concern: AntDroidNet Cybersecurity Model: A Hybrid Integration of Ant Colony Optimization and Deep Neural Networks for Android Malware Detection

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Abstract

EXPRESSION OF CONCERN FOR: Riyadh Rahef Nuiaa AlOgaili, Osamah Adil Raheem, Mohamed H GhalebAbdkhaleq, Zaid Abdi Alkareem Alyasseri, Saif Ali Abd Alradha Alsaidi, Ali Hakem Alsaeedi, Yousif Raad Muhsen,Selvakumar Manickam. (2025). AntDroidNet Cybersecurity Model: A Hybrid Integration of Ant Colony Optimization andDeep Neural Networks for Android Malware Detection. Mesopotamian Journal of CyberSecurity, 5(1), 104-120.https://doi.org/10.58496/MJCS/2025/008https://mesopotamian.press/journals/index.php/CyberSecurity/article/view/711Reason for Expression of Concern:The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “AntDroidNetCybersecurity Model: A Hybrid Integration of Ant Colony Optimization and Deep Neural Networks for AndroidMalware Detection”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, andreported outcomes to confirm their reliability and reproducibility.This notice is issued to ensure transparency while the review is ongoing. The Expression of Concern does not constitute a finaldetermination regarding the validity of the work. The journal will update readers once the assessment is completed and will take anynecessary editorial action in accordance with the journal’s policies and COPE guidance.

Fields of Study & Subjects

Advanced Malware Detection Techniques Spam and Phishing Detection Adversarial Robustness in Machine Learning

Publication details

Journal / source
Mesopotamian Journal of CyberSecurity
Volume
2026
Issue
1
Pages
3–3
Publication date
27 February 2026
Language
EN