Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (ARES, 2021)

Ensemble of deep sequential models for credit card fraud detection. - Javad Forough; Saeedeh Momtazi (Appl. Soft Comput., 2021)

DELA: A Deep Ensemble Learning Approach for Cross-layer VSI-DDoS Detection on the Edge. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (ICDCS, 2022)

Sequential credit card fraud detection: A joint deep neural network and probabilistic graphical model approach. - Javad Forough; Saeedeh Momtazi (Expert Syst. J. Knowl. Eng., 2022)

Anomaly Detection and Resolution on the Edge: Solutions and Future Directions. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (SOSE, 2023)

Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (TrustCom, 2023)

Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints. - Javad Forough; Hamed Haddadi; Monowar H. Bhuyan; Erik Elmroth (IEEE Access, 2024)

NetProbe: Deep Learning-Driven DDoS Detection with a Two-Tiered Mitigation Strategy. - Prianshu Jha; Gurpreet Singh; Amit Kumar; Dewesh Agrawal; Yashwant Singh Patel; Javad Forough (ICDCN, 2025)

DynaNoise: Dynamic Probabilistic Noise Injection for Defending Against Membership Inference Attacks. - Javad Forough; Hamed Haddadi (CoRR, 2025)