Aidin Ferdowsi

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Virginia Polytechnic Institute and State University

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Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks

Conventional anti-jamming method mostly rely on frequency hopping to hid...
03/25/2021 ∙ by Ali Pourranjbar, et al. ∙ 0 ∙ share

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Distributed Generative Adversarial Networks for mmWaveChannel Modeling in Wireless UAV Networks

In this paper, a novel framework is proposed to enable air-to-ground cha...
02/22/2021 ∙ by Qianqian Zhang, et al. ∙ 0 ∙ share

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Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks

In this paper, a novel framework is proposed to perform data-driven air-...
02/02/2021 ∙ by Qianqian Zhang, et al. ∙ 0 ∙ share

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Interdependence-Aware Game-Theoretic Framework for Secure Intelligent Transportation Systems

The operation of future intelligent transportation systems (ITSs), commu...
07/12/2020 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks

In this paper, an unmanned aerial vehicle (UAV)-assisted wireless networ...
06/29/2020 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets

To achieve a high learning accuracy, generative adversarial networks (GA...
02/02/2020 ∙ by Aidin Ferdowsi, et al. ∙ 11 ∙ share

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Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things

To reap the benefits of the Internet of Things (IoT), it is imperative t...
06/03/2019 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networks

Unmanned aerial vehicles (UAVs) are expected to be a key component of th...
05/08/2019 ∙ by Mohamed A. Abd-Elmagid, et al. ∙ 0 ∙ share

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Drones in Distress: A Game-Theoretic Countermeasure for Protecting UAVs Against GPS Spoofing

One prominent security threat that targets unmanned aerial vehicles (UAV...
04/16/2019 ∙ by Abdelrahman Eldosouky, et al. ∙ 0 ∙ share

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Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning

Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such ...
12/13/2018 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications

Scheduling fast uplink grant transmissions for machine type communicatio...
10/30/2018 ∙ by Samad Ali, et al. ∙ 0 ∙ share

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Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems

To operate effectively in tomorrow's smart cities, autonomous vehicles (...
05/02/2018 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs

Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be in...
04/15/2018 ∙ by Ursula Challita, et al. ∙ 0 ∙ share

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Deep Learning for Signal Authentication and Security in Massive Internet of Things Systems

Secure signal authentication is arguably one of the most challenging pro...
03/01/2018 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems

Intelligent transportation systems (ITSs) will be a major component of t...
12/12/2017 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things

Securing the Internet of Things (IoT) is a necessary milestone toward ex...
11/03/2017 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Generalized Colonel Blotto Game

Competitive resource allocation between adversarial decision makers aris...
10/03/2017 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Colonel Blotto Game for Secure State Estimation in Interdependent Critical Infrastructure

Securing the physical components of a city's interdependent critical inf...
09/28/2017 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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