Mahmoud Abouyoussef

According to our database, Mahmoud Abouyoussef authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Attack Design for Maximum Malware Spread Through EVs Commute and Charge in Power-Transportation Systems.

Sushil Poudel, Mahmoud Abouyoussef, J. Eileen Baugh, Muhammad Ismail

IEEE Syst. J., September, 2024

Towards Privacy-Preserving Vehicle Digital Forensics: A Blockchain Approach.

Trent Menard, Mahmoud Abouyoussef

Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

2023

S-BAN: Secure Blockchain-Based Anonymous Networking Strategy for Privacy-Preserving DSM.

Mahmoud Abouyoussef, Muhammad Ismail

IEEE Access, 2023

Secure and Privacy-Preserving Networking Strategy for Dynamic Wireless Charging of EVs.

Mahmoud Abouyoussef, Muhammad Ismail, Shady S. Refaat

Proceedings of the IEEE International Conference on Communications, 2023

FIGO: Fingerprint Identification Approach Using GAN and One Shot Learning Techniques.

Ibrahim Yilmaz, Mahmoud Abouyoussef

Proceedings of the 11th International Symposium on Digital Forensics and Security, 2023

2022

Blockchain-Based Privacy-Preserving Networking Strategy for Dynamic Wireless Charging of EVs.

Mahmoud Abouyoussef, Muhammad Ismail

IEEE Trans. Netw. Serv. Manag., 2022

Sharded Blockchain-based Online Diagnostic System for Suspected Patients During Pandemics.

Alexander Omran, Mahmoud Abouyoussef, Muhammad Ismail, Surbhi Bhatia

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2021

Blockchain-Enabled Online Diagnostic Platform of Suspected Patients of COVID-19 Like Pandemics.

Mahmoud Abouyoussef, Surbhi Bhatia, Poonam Chaudhary, Saurabh Sharma, Muhammad Ismail

IEEE Internet Things Mag., 2021

Blockchain-based Networking Strategy for Privacy-Preserving Demand Side Management.

Mahmoud Abouyoussef, Muhammad Ismail

Proceedings of the ICC 2021, 2021

Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning.

Ibrahim Yilmaz, Kavish Kapoor, Ambareen Siraj, Mahmoud Abouyoussef

Proceedings of the SAT-CPS@CODASPY 2021, 2021