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04/12/2023
DOSM: Demand-Prediction based Online Service Management for Vehicular Edge Computing Networks
In this work, we investigate an online service management problem in veh...
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10/04/2022
Optimizing Vehicle-to-Edge Mapping with Load Balancing for Attack-Resilience in IoV
Attack-resilience is essential to maintain continuous service availabili...
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06/25/2022
On Attack-Resilient Service Placement and Availability in Edge-enabled IoV Networks
Achieving network resilience in terms of attack tolerance and service av...
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04/23/2022
GFCL: A GRU-based Federated Continual Learning Framework against Adversarial Attacks in IoV
The integration of ML in 5G-based Internet of Vehicles (IoV) networks ha...
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08/02/2021
Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles
Machine learning (ML) has made incredible impacts and transformations in...
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06/11/2021
DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles
The growth of 5G and edge computing has enabled the emergence of Interne...
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05/31/2021
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Machine Learning (ML) has emerged as an attractive and viable technique ...
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05/31/2021
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks
The emergence of technologies such as 5G and mobile edge computing has e...
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09/02/2020
Cost-aware Feature Selection for IoT Device Classification
Classification of IoT devices into different types is of paramount impor...
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12/10/2018
Machine Learning-based Link Fault Identification and Localization in Complex Networks
With the proliferation of network devices and rapid development in infor...
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12/10/2018
Crossfire Attack Detection using Deep Learning in Software Defined ITS Networks
Recent developments in intelligent transport systems (ITS) based on smar...
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05/28/2018
