Mohammed K. Alzaylaee

Vinod P.

Renugadevi N.

Dinesh Vikram V.

Clust. Comput., August, 2026

Spectre-Fed: Evolving Federated Edge Intelligence From FedEdge-ID to Robust-Private IoT Intrusion Detection via Hybrid Adversarial Training.

[BibT_eX]

[DOI]

Saeed Ullah

Junsheng Wu

Mian Muhammad Kamal

Mohammad Alibakhshikenari

IEEE Open J. Commun. Soc., 2026

2025

A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques.

[BibT_eX]

[DOI]

CoRR, July, 2025

An Auto Encoder-Enhanced Stacked Ensemble for Intrusion Detection in Healthcare Networks.

[BibT_eX]

[DOI]

Fatma S. Alrayes

Mohammed Zakariah

Syed Umar Amin

Zafar Iqbal Khan

Comput. Mater. Continua, 2025

2020

High Accuracy Phishing Detection Based on Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

DL-Droid: Deep learning based android malware detection using real devices.

[BibT_eX]

[DOI]

Comput. Secur., 2020

Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Cyber Situational Awareness, 2020

2019

Machine learning-based dynamic analysis of Android apps with improved code coverage.

[BibT_eX]

[DOI]

EURASIP J. Inf. Secur., 2019

2017

Improving dynamic analysis of android apps using hybrid test input generation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Cyber Security And Protection Of Digital Services, 2017

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics, 2017

2016

DynaLog: An automated dynamic analysis framework for characterizing Android applications.

[BibT_eX]

[DOI]