Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
6G wireless systems: A vision, architectural elements, and future directions
Internet of everything (IoE)-based smart services are expected to gain immense popularity in
the future, which raises the need for next-generation wireless networks. Although fifth …
the future, which raises the need for next-generation wireless networks. Although fifth …
Energy-efficient random access for LEO satellite-assisted 6G internet of remote things
Satellite communication system is expected to play a vital role for realizing various remote
Internet-of-Things (IoT) applications in sixth-generation vision. Due to unique characteristics …
Internet-of-Things (IoT) applications in sixth-generation vision. Due to unique characteristics …
A secured framework for sdn-based edge computing in IOT-enabled healthcare system
The Internet of Things (IoT) consists of resource-constrained smart devices capable to sense
and process data. It connects a huge number of smart sensing devices, ie, things, and …
and process data. It connects a huge number of smart sensing devices, ie, things, and …
Learning-based URLLC-aware task offloading for internet of health things
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
Latency and energy optimization for MEC enhanced SAT-IoT networks
Mobile edge computing (MEC) enhanced satellite based internet of things (SAT-IoT) is an
important complement for terrestrial networks based IoT, especially for the remote and …
important complement for terrestrial networks based IoT, especially for the remote and …
Machine learning aided air traffic flow analysis based on aviation big data
Timely and efficient air traffic flow management (ATFM) is a key issue in future dense air
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
Providing end-to-end security using quantum walks in IoT networks
AA Abd El-Latif, B Abd-El-Atty… - IEEE …, 2020 - ieeexplore.ieee.org
Internet of Things acts an essential role in our everyday lives and it definitely has the
potential to grow on the importance and revolutionize our future. However, the present …
potential to grow on the importance and revolutionize our future. However, the present …
SDN enhanced multi-access edge computing (MEC) for E2E mobility and QoS management
Multi-access Edge Computing (MEC) is a key enabler of the fifth-generation (5G) mobile
cellular networks. MEC enables Ultra-reliable and Low-latency Communications (URLLC) …
cellular networks. MEC enables Ultra-reliable and Low-latency Communications (URLLC) …
Multiagent actor-critic network-based incentive mechanism for mobile crowdsensing in industrial systems
Mobile crowdsensing (MCS) is an appealing sensing paradigm that leverages the sensing
capabilities of smart devices and the inherent mobility of device owners to accomplish …
capabilities of smart devices and the inherent mobility of device owners to accomplish …