Search Results for author: Saif Al-Kuwari

Found 6 papers, 1 papers with code

Hybrid PLS-ML Authentication Scheme for V2I Communication Networks

no code implementations28 Aug 2023 Hala Amin, Jawaher Kaldari, Nora Mohamed, Waqas Aman, Saif Al-Kuwari

We also compare our scheme with a baseline scheme that exploits the angle of arrival at RSUs for authentication.

Position

Location-based Physical Layer Authentication in Underwater Acoustic Communication Networks

no code implementations12 Mar 2023 Waqas Aman, Saif Al-Kuwari, Marwa Qaraqe

In this paper, we propose a novel physical layer authentication (PLA) mechanism in underwater acoustic communication networks where we exploit the position/location of the transmitter nodes to achieve authentication.

Position

Physical Layer Security in Satellite Communication: State-of-the-art and Open Problems

no code implementations9 Jan 2023 Nora Abdelsalam, Saif Al-Kuwari, Aiman Erbad

Satellite communications emerged as a promising extension to terrestrial networks in future 6G network research due to their extensive coverage in remote areas and ability to support the increasing traffic rate and heterogeneous networks.

Full-Duplex Magnetic Induction Communication: Opportunities and Challenges

no code implementations17 Dec 2022 Muhammad Muzzammil, Saif Al-Kuwari, Niaz Ahmed, Marwa Qaraqe

The demand for high data rates is rapidly increasing as the interest in Magnetic Induction (MI) communication-based underwater applications grow.

Underwater and Air-Water Wireless Communication: State-of-the-art, Channel Characteristics, Security, and Open Problems

no code implementations5 Mar 2022 Waqas Aman, Saif Al-Kuwari, Ambrish Kumar, Muhammad Mahboob Ur Rahman, Muhammad Muzzammil

The first part of the paper focuses on the state-of-the-art underwater and A-W WCNs whereby we outline the benefits and drawbacks of the four promising underwater and A-W candidate technologies: radio frequency (RF), acoustic, optical and magnetic induction (MI), along with their channel characteristics.

Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data

1 code implementation31 Jan 2022 Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou

In this paper, inspired by the success of Knowledge Distillation (KD) methods, we propose an unsupervised deep neural network to detect and localize damages in social media images.

Humanitarian Knowledge Distillation

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