Search Results - "Talpur, Anum"

Design architectures for energy harvesting in the Internet of Things by Zeadally, Sherali, Shaikh, Faisal Karim, Talpur, Anum, Sheng, Quan Z.

“…An increasing number of objects (things) are being connected to the Internet as they become more advanced, compact, and affordable. These Internet-connected…”
Get full text

Machine Learning for Security in Vehicular Networks: A Comprehensive Survey by Talpur, Anum, Gurusamy, Mohan

“…Machine Learning (ML) has emerged as an attractive and viable technique to provide effective solutions for a wide range of application domains. An important…”
Get full text

On Attack-Resilient Service Placement and Availability in Edge-Enabled IoV Networks by 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…”
Get full text

DRLD-SP: A Deep-Reinforcement-Learning-Based Dynamic Service Placement in Edge-Enabled Internet of Vehicles by Talpur, Anum, Gurusamy, Mohan

“…The growth of fifth-generation (5G) and edge computing has enabled the emergence of Internet of Vehicles (IoV). It supports different types of services with…”
Get full text

Validation of Wired and Wireless Interconnected Body Sensor Networks by Talpur, Anum, Shaikh, Faisal Karim, Baloch, Natasha, Felemban, Emad, Khelil, Abdelmajid, Alam, Muhammad Mahtab

“…Current medical facilities usually lead to a very high cost especially for developing countries, rural areas and mass casualty incidents. Therefore, advanced…”
Get full text

Design, Implementation and Evaluation of IR-Based Tagging System for RTLS by Baqai, Attiya, Talpur, Anum, Umrani, Fahim Aziz, Lakho, Inamullah

“…Real time location system (RTLS) technologies are being widely used to automatically identify and track the location of objects or people. Such technologies…”
Get full text

Crowdsource Based Vehicle Tracking System by Metlo, Sundas, Memon, Mahnoor Gul, Shaikh, Faisal Karim, Teevno, Mansoor Ali, Talpur, Anum

“…The transport of developing countries faces lots of problems including heavy traffic jams, the uncertainty of waiting time, increased fuel consumption and the…”
Get full text

Performance Analysis of Location Based Smart Catastrophe Monitoring System Using WSN by Mirza, Ghulam Fiza, Ahmed, Aqeel, Bohra, Nafeesa, Khan, Sorath, Memon, Azam Rafique, Talpur, Anum

“…Sudden accident in factories causes huge damage to human life and property which is a serious problem. The fire incident of Baldia Town factory Karachi,…”
Get full text

Bloom filter–based efficient broadcast algorithm for the Internet of things by Talpur, Anum, Shaikh, Faisal K, Newe, Thomas, Sheikh, Adil A, Felemban, Emad, Khelil, Abdelmajid

“…In the Internet of things, a large number of objects can be embedded over a region of interest where almost every device is connected to the Internet. This…”
Get full text

DOSM: Demand-Prediction based Online Service Management for Vehicular Edge Computing Networks by 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…”
Get full text

Optimizing Vehicle-to-Edge Mapping with Load Balancing for Attack-Resilience in IoV by 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,…”
Get full text

On Attack-Resilient Service Placement and Availability in Edge-enabled IoV Networks by 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…”
Get full text

Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles by 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)…”
Get full text

DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles by 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…”
Get full text

Machine Learning for Security in Vehicular Networks: A Comprehensive Survey by Talpur, Anum, Gurusamy, Mohan

“…Machine Learning (ML) has emerged as an attractive and viable technique to provide effective solutions for a wide range of application domains. An important…”
Get full text

Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks by Talpur, Anum, Gurusamy, Mohan

“…The emergence of technologies such as 5G and mobile edge computing has enabled provisioning of different types of services with different resource and service…”
Get full text

Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks by Talpur, Anum, Gurusamy, Mohan

“…The emergence of technologies such as 5G and mobile edge computing has enabled provisioning of different types of services with different resource and service…”
Get full text

DOSM: Demand-Prediction based Online Service Management for Vehicular Edge Computing Networks by 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…”
Get full text

Optimizing Vehicle-to-Edge Mapping with Load Balancing for Attack-Resilience in IoV by 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,…”
Get full text

GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV by 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…”
Get full text