Combat Mobile Evasive Malware via Deep Learning. - Irfan Bulut; Ali Gökhan Yavuz; R. Can Aygun (CECC, 2017)

Network Anomaly Detection with Stochastically Improved Autoencoder Based Models. - R. Can Aygun; Ali Gökhan Yavuz (CSCloud, 2017)

A stochastic data discrimination based autoencoder approach for network anomaly detection. - R. Can Aygun; Ali Gökhan Yavuz (SIU, 2017)

Combat mobile malware via N-gram based deep learning. - Burak Dusun; Irfan Bulut; R. Can Aygun; Ali Gökhan Yavuz (SIU, 2018)

Combat Mobile Evasive Malware via Skip-Gram-Based Malware Detection. - Alper Egitmen; Irfan Bulut; R. Can Aygun; Ayse Bilge Gunduz; Omer Seyrekbasan; Ali Gökhan Yavuz (Secur. Commun. Networks, 2020)

Blockchain's Role in Metaverse Trust and Transactions. - R. Can Aygun; Turan Vural; Lixia Zhang 001 (MetaCom, 2023)

Revealing Protocol Architecture's Design Patterns in the Volumetric DDoS Defense Design Space. - Zhiyi Zhang 001; Guorui Xiao; Sichen Song; R. Can Aygun; Angelos Stavrou; Lixia Zhang 001; Eric Osterweil (IEEE Commun. Surv. Tutorials, 2025)