Clustering for smart cities in the internet of things: a review
Nowadays, internet of things (IoT) applications, especially in smart cities, are fast
developing. Clustering is a promising solution for handling IoT issues such as energy …
developing. Clustering is a promising solution for handling IoT issues such as energy …
Deep Reinforcement Learning for intrusion detection in Internet of Things: Best practices, lessons learnt, and open challenges
Abstract The Internet of Things (IoT) scenario places important challenges even for deep
learning-based intrusion detection systems. IoTs are highly heterogeneous networks in …
learning-based intrusion detection systems. IoTs are highly heterogeneous networks in …
An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with …
MA Setitra, M Fan… - Transactions on Emerging …, 2023 - Wiley Online Library
The growing popularity of Software Defined Networks (SDN) and the Internet of Things (IoT)
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …
Smart Implementation of Industrial Internet of Things using Embedded Mechatronic System
In Industry 4.0, integrating Industrial Internet of Things (IIoT) and smart manufacturing is
crucial for high-quality, efficient, and cost-effective production. However, the performance of …
crucial for high-quality, efficient, and cost-effective production. However, the performance of …
[PDF][PDF] Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review
The Internet of Things (IoT) has transformed our interaction with the world by connecting
devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and …
devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and …
[HTML][HTML] Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework
With the advent of internet and communication system, a huge number of opportunities have
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
Adaptive population-based multi-objective optimization in SDN controllers for cost optimization
Abstract In Wireless Sensor Networks, Software Defined Networks (SDN) provide a logically
centralized control plane as a potential means of streamlining network management …
centralized control plane as a potential means of streamlining network management …
[HTML][HTML] Suitability of SDN and MEC to facilitate digital twin communication over LTE-A
Haptic is the modality that complements traditional multimedia, ie, audiovisual, to evolve the
next wave of innovation at which the Internet data stream can be exchanged to enable …
next wave of innovation at which the Internet data stream can be exchanged to enable …
Empowering sdn-docker based architecture for internet of things heterogeneity
Abstract Internet of Things (IoT), an emerging technology, connects billions of smart devices
to the Internet through heterogeneous communication technologies enabling novel services …
to the Internet through heterogeneous communication technologies enabling novel services …
ILBPS: An Integrated Optimization Approach Based on Adaptive Load-Balancing and Heuristic Path Selection in SDN
Load-balancing and path selection optimization are efficient solutions to network
optimization problems. Since the emergence of software-defined network (SDN), more …
optimization problems. Since the emergence of software-defined network (SDN), more …