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2020 – today
- 2023
[j3]Naila Mukhtar
, Mohamad Ali Mehrabi, Yinan Kong, Ashiq Anjum:
Edge enhanced deep learning system for IoT edge device security analytics. Concurr. Comput. Pract. Exp. 35(13) (2023)- 2022
- [c4]Naila Mukhtar, Louiza Papachristodoulou, Apostolos P. Fournaris, Lejla Batina, Yinan Kong:
Machine-Learning Assisted Side-Channel Attacks on RNS ECC Implementations Using Hybrid Feature Engineering. COSADE 2022: 3-28 - [c3]Naila Mukhtar, Lejla Batina, Stjepan Picek, Yinan Kong:
Fake It Till You Make It: Data Augmentation Using Generative Adversarial Networks for All the Crypto You Need on Small Devices. CT-RSA 2022: 297-321 - 2021
- [j2]Mohamad Ali Mehrabi, Naila Mukhtar, Alireza Jolfaei:
Power Side-Channel Analysis of RNS GLV ECC Using Machine and Deep Learning Algorithms. ACM Trans. Internet Techn. 21(3): 65:1-65:20 (2021) - [i2]Naila Mukhtar, Lejla Batina, Stjepan Picek, Yinan Kong:
Fake it till you make it: Data Augmentation using Generative Adversarial Networks for all the crypto you need on small devices. IACR Cryptol. ePrint Arch. 2021: 991 (2021) - 2020
- [j1]Naila Mukhtar, Apostolos P. Fournaris, Tariq Mahmood Khan, Charis Dimopoulos, Yinan Kong:
Improved Hybrid Approach for Side-Channel Analysis Using Efficient Convolutional Neural Network and Dimensionality Reduction. IEEE Access 8: 184298-184311 (2020) - [i1]Naila Mukhtar, Louiza Papachristodoulou, Apostolos P. Fournaris, Lejla Batina, Yinan Kong:
Machine-Learning assisted Side-Channel Attacks on RNS-based Elliptic Curve Implementations using Hybrid Feature Engineering. IACR Cryptol. ePrint Arch. 2020: 1065 (2020)
2010 – 2019
- 2018
- [c2]Naila Mukhtar, Yinan Kong:
Secret Key Classification Based on Electromagnetic Analysis and Feature Extraction Using Machine-Learning Approach. FNSS 2018: 80-92 - 2015
- [c1]Naila Mukhtar, Muhammad Shamim Baig, L. A. Khan:
Improved trust based key management for end-to-end secure communication in cellular networks. SIN 2015: 68-75
Coauthor Index
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