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20212023
most citedMachine Learning for Security in Vehicular Networks: A Comprehensive Survey

105 citations · 180 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI2023

DOSM: Demand-Prediction based Online Service Management for Vehicular Edge Computing Networks

Anum Talpur, Mohan Gurusamy

In this work, we investigate an online service management problem in vehicular edge computing networks. To satisfy the varying service demands of mobile vehicles, a service managem…

cs.NI2022

Optimizing Vehicle-to-Edge Mapping with Load Balancing for Attack-Resilience in IoV

Anum Talpur, Mohan Gurusamy

Attack-resilience is essential to maintain continuous service availability in Internet of Vehicles (IoV) where critical tasks are carried out. In this paper, we address the problem…

cs.NI2022★ 10 cited

On Attack-Resilient Service Placement and Availability in Edge-enabled IoV Networks

Anum Talpur, Mohan Gurusamy

Achieving network resilience in terms of attack tolerance and service availability is critically important for Internet of Vehicles (IoV) networks where vehicles require assistance…

cs.LG2022★ 2 cited

GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV

Anum Talpur, Mohan Gurusamy

Integration of machine learning (ML) in 5G-based Internet of Vehicles (IoV) networks has enabled intelligent transportation and smart traffic management. Nonetheless, the security…

cs.LG2021★ 9 cited

Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles

Anum Talpur, Mohan Gurusamy

Machine learning (ML) has made incredible impacts and transformations in a wide range of vehicular applications. As the use of ML in Internet of Vehicles (IoV) continues to advance…

cs.NI2021★ 41 cited

DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles

Anum Talpur, Mohan Gurusamy

The growth of 5G and edge computing has enabled the emergence of Internet of Vehicles. It supports different types of services with different resource and service requirements. How…

cs.NI2021★ 13 cited

Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks

Anum Talpur, Mohan Gurusamy

The emergence of technologies such as 5G and mobile edge computing has enabled provisioning of different types of services with different resource and service requirements to the v…

cs.LG2021★ 105 cited

Machine Learning for Security in Vehicular Networks: A Comprehensive Survey

Anum Talpur, Mohan Gurusamy

Machine Learning (ML) has emerged as an attractive and viable technique to provide effective solutions for a wide range of application domains. An important application domain is v…