Improved trust based key management for end-to-end secure communication in cellular networks. - Naila Mukhtar; Muhammad Shamim Baig; L. A. Khan (SIN, 2015)

Secret Key Classification Based on Electromagnetic Analysis and Feature Extraction Using Machine-Learning Approach. - Naila Mukhtar; Yinan Kong (FNSS, 2018)

Improved Hybrid Approach for Side-Channel Analysis Using Efficient Convolutional Neural Network and Dimensionality Reduction. - Naila Mukhtar; Apostolos P. Fournaris; Tariq Mahmood Khan; Charis Dimopoulos; Yinan Kong (IEEE Access, 2020)

Machine-Learning assisted Side-Channel Attacks on RNS-based Elliptic Curve Implementations using Hybrid Feature Engineering. - Naila Mukhtar; Louiza Papachristodoulou; Apostolos P. Fournaris; Lejla Batina; Yinan Kong (IACR Cryptol. ePrint Arch., 2020)

Fake it till you make it: Data Augmentation using Generative Adversarial Networks for all the crypto you need on small devices. - Naila Mukhtar; Lejla Batina; Stjepan Picek; Yinan Kong (IACR Cryptol. ePrint Arch., 2021)

Power Side-Channel Analysis of RNS GLV ECC Using Machine and Deep Learning Algorithms. - Mohamad Ali Mehrabi; Naila Mukhtar; Alireza Jolfaei (ACM Trans. Internet Techn., 2021)

Machine-Learning Assisted Side-Channel Attacks on RNS ECC Implementations Using Hybrid Feature Engineering. - Naila Mukhtar; Louiza Papachristodoulou; Apostolos P. Fournaris; Lejla Batina; Yinan Kong (COSADE, 2022)

Edge enhanced deep learning system for IoT edge device security analytics. - Naila Mukhtar; Mohamad Ali Mehrabi; Yinan Kong; Ashiq Anjum (Concurr. Comput. Pract. Exp., 2023)