Ahod Alghuried

Orcid: 0009-0002-5681-7223

According to our database1, Ahod Alghuried authored at least 13 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
BIoT-Chain: a hyperledger blockchain cloud framework with SHA-3 keccak-enabled privacy for robust drone IoT network security.
J. Cloud Comput., December, 2026

Blockchain Security and Privacy: Threats, Challenges, Applications, and Tools.
Distributed Ledger Technol. Res. Pract., March, 2026

Phishing in Wonderland: Evaluating Learning-Based Ethereum Phishing Transaction Detection and Pitfalls.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions.
CoRR, April, 2025

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations.
CoRR, April, 2025

xr-droid: A Benchmark Dataset for AR/VR and Security Applications.
IEEE Trans. Dependable Secur. Comput., 2025

A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights.
J. Cybersecur. Priv., 2025

Attributing ChatGPT-Transformed Synthetic Code.
Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

2024
Troid: Temporal and Cross-Sectional Android Dataset and Its Applications.
Dataset, June, 2024

xr-droid: A Benchmark Dataset for AR/VR and Security Applications.
Dataset, May, 2024

Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis.
Proceedings of the Information Security Applications - 25th International Conference, 2024

2023
Defending AirType Against Inference Attacks Using 3D In-Air Keyboard Layouts: Design and Evaluation.
Proceedings of the Information Security Applications - 24th International Conference, 2023

2017
A Model for Anomalies Detection in Internet of Things (IoT) Using Inverse Weight Clustering and Decision Tree.
PhD thesis, 2017


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