Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Gurusamy, Mohan"'
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
Unmanned Aerial Vehicles (UAVs) are integral in various sectors like agriculture, surveillance, and logistics, driven by advancements in 5G. However, existing research lacks a comprehensive approach addressing both data freshness and security concern
Externí odkaz:
http://arxiv.org/abs/2404.04692
Internet of Things (IoT) involves sensors for monitoring and wireless networks for efficient communication. However, resource-constrained IoT devices and limitations in existing wireless technologies hinder its full potential. Integrating Unmanned Ae
Externí odkaz:
http://arxiv.org/abs/2311.05303
Recent research works have proposed machine learning models for classifying IoT devices connected to a network. However, there is still a practical challenge of not having all devices (and hence their traffic) available during the training of a model
Externí odkaz:
http://arxiv.org/abs/2310.08036
Autor:
Talpur, Anum, Gurusamy, Mohan
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 management framework is required to make decisions on the service lifecycle t
Externí odkaz:
http://arxiv.org/abs/2304.05637
Autor:
Talpur, Anum, Gurusamy, Mohan
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 of service outage due to attacks on the edge network and propose an a
Externí odkaz:
http://arxiv.org/abs/2210.01375
Autor:
Talpur, Anum, Gurusamy, Mohan
Achieving network resilience in terms of attack tolerance and service availability is critically important for Internet of Vehicles (IoV) networks where vehicles require assistance in sensitive and safety-critical applications like driving. It is par
Externí odkaz:
http://arxiv.org/abs/2206.12560
Autor:
Talpur, Anum, Gurusamy, Mohan
Integration of machine learning (ML) in 5G-based Internet of Vehicles (IoV) networks has enabled intelligent transportation and smart traffic management. Nonetheless, the security against adversarial poisoning attacks is also increasingly becoming a
Externí odkaz:
http://arxiv.org/abs/2204.11010
Publikováno v:
In Computer Communications 1 January 2025 229
Autor:
Talpur, Anum, Gurusamy, Mohan
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, adversarial threats and their impact have become an important subjec
Externí odkaz:
http://arxiv.org/abs/2108.00833
Autor:
Talpur, Anum, Gurusamy, Mohan
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. However, limited resources at the edge, high mobility of vehicles, increa
Externí odkaz:
http://arxiv.org/abs/2106.06291