Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Graph neural networks for anomaly detection in industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
A graph neural network-based digital twin for network slicing management
Network slicing has emerged as a promising networking paradigm to provide resources
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
Softwarization of UAV networks: A survey of applications and future trends
OS Oubbati, M Atiquzzaman, TA Ahanger… - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and
beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the …
beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the …
Intelligent digital twin-based software-defined vehicular networks
SDVN is a promising architecture to extend the computation resources which break through
the limitations of current vehicular networks. It is possible to learn new networking schemes …
the limitations of current vehicular networks. It is possible to learn new networking schemes …
Research on telecom big data platform of LTE/5G mobile networks
In recent years, the LTE/5G mobile networks operation and telecom services lead to the
explosion of telecom big data. Since telecom big data stores valuable information, this paper …
explosion of telecom big data. Since telecom big data stores valuable information, this paper …
IoT forensics: Amazon echo as a use case
Internet of Things (IoT) are increasingly common in our society, and can be found in civilian
settings as well as sensitive applications, such as battlefields and national security. Given …
settings as well as sensitive applications, such as battlefields and national security. Given …
Deep reinforcement learning for blockchain in industrial IoT: A survey
With the ambitious plans of renewal and expansion of industrialization in many countries,
the efficiency, agility and cost savings potentially resulting from the application of industrial …
the efficiency, agility and cost savings potentially resulting from the application of industrial …
Data-driven dynamic resource scheduling for network slicing: A deep reinforcement learning approach
Network slicing is designed to support a variety of emerging applications with diverse
performance and flexibility requirements, by dividing the physical network into multiple …
performance and flexibility requirements, by dividing the physical network into multiple …
A comprehensive survey of security threats and their mitigation techniques for next‐generation SDN controllers
Summary Software Defined Network (SDN) and Network Virtualization (NV) are emerged
paradigms that simplified the control and management of the next generation networks, most …
paradigms that simplified the control and management of the next generation networks, most …