Experimental Evaluation of Cryptography Overhead in Automotive Safety-Critical Communication. - Edilson A. Silva; Paulo Freitas de Araujo-Filho; Divanilson R. Campelo (VTC Spring, 2018)

A Real-time Anomaly-based Intrusion Detection System for Automotive Controller Area Networks. - Luís Felipe Prado D'Andrada; Paulo Freitas de Araujo-Filho; Divanilson R. Campelo (SBRC, 2020)

An Efficient Intrusion Prevention System for CAN: Hindering Cyber-Attacks With a Low-Cost Platform. - Paulo Freitas de Araujo-Filho; Antônio J. Pinheiro; Georges Kaddoum; Divanilson R. Campelo; Fabio L. Soares (IEEE Access, 2021)

Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment. - Paulo Freitas de Araujo-Filho; Georges Kaddoum; Divanilson R. Campelo; Aline Gondim Santos; David L. Macêdo; Cleber Zanchettin (IEEE Internet Things J., 2021)

Adaptive Packet Padding Approach for Smart Home Networks: A Tradeoff Between Privacy and Performance. - Antônio J. Pinheiro; Paulo Freitas de Araujo-Filho; Jeandro de Mesquita Bezerra; Divanilson R. Campelo (IEEE Internet Things J., 2021)

Machine Learning-Based Intrusion Detection System for Automotive Ethernet: Detecting Cyber-Attacks with a Low-Cost Platform. - Pedro Rafael X. do Carmo; Paulo Freitas de Araujo-Filho; Divanilson R. Campelo; Eduardo Freitas; Assis T. de Oliveira Filho; Djamel Fawzi Hadj Sadok (SBRC, 2022)

Multi-Objective GAN-Based Adversarial Attack Technique for Modulation Classifiers. - Paulo Freitas de Araujo-Filho; Georges Kaddoum; Mohamed Naili; Emmanuel Thepie Fapi; Zhongwen Zhu (IEEE Commun. Lett., 2022)

Deep Unfolding Network for PAPR Reduction in Multicarrier OFDM Systems. - Minh Thang Nguyen; Georges Kaddoum; Bassant Selim; K. V. Srinivas 001; Paulo Freitas de Araujo-Filho (IEEE Commun. Lett., 2022)

Multi-Criteria Optimized Deep Learning-based Intrusion Detection System for Detecting Cyberattacks in Automotive Ethernet Networks. - Luigi F. Marques da Luz; Paulo Freitas de Araujo-Filho; Divanilson R. Campelo (SBRC, 2023)

Defending Wireless Receivers Against Adversarial Attacks on Modulation Classifiers. - Paulo Freitas de Araujo-Filho; Georges Kaddoum; Mohamed Chiheb Ben Nasr; Henrique F. Arcoverde; Divanilson R. Campelo (IEEE Internet Things J., 2023)

Unsupervised GAN-Based Intrusion Detection System Using Temporal Convolutional Networks and Self-Attention. - Paulo Freitas de Araujo-Filho; Mohamed Naili; Georges Kaddoum; Emmanuel Thepie Fapi; Zhongwen Zhu (IEEE Trans. Netw. Serv. Manag., 2023)

Multi-stage deep learning-based intrusion detection system for automotive Ethernet networks. - Luigi F. Marques da Luz; Paulo Freitas de Araujo-Filho; Divanilson R. Campelo (Ad Hoc Networks, 2024)

Projected Natural Gradient Method: Unveiling Low-Power Perturbation Vulnerabilities in Deep-Learning-Based Automatic Modulation Classification. - Mohamed Chiheb Ben Nasr; Paulo Freitas de Araujo-Filho; Georges Kaddoum; Azzam Mourad (IEEE Internet Things J., 2024)

A Bayesian Neural Network for Robust Automatic Modulation Classification: Mitigating Adversarial Amplification. - Mohamed Chiheb Ben Nasr; Paulo Freitas de Araujo-Filho; Georges Kaddoum; Azzam Mourad (IEEE Internet Things J., 2025)