Cyber security in iot-based cloud computing: A comprehensive survey
Cloud computing provides the flexible architecture where data and resources are dispersed
at various locations and are accessible from various industrial environments. Cloud …
at various locations and are accessible from various industrial environments. Cloud …
Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
Autonomous Vehicles in 5G and beyond: A Survey
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
SVM‐based generative adverserial networks for federated learning and edge computing attack model and outpoising
P Manoharan, R Walia, C Iwendi, TA Ahanger… - Expert …, 2023 - Wiley Online Library
Abstract Machine learning are vulnerable to the threats. The Intruders can utilize the
malicious nature of the nodes to attack the training dataset to worsen the process and …
malicious nature of the nodes to attack the training dataset to worsen the process and …
Ai-based intrusion detection systems for in-vehicle networks: A survey
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …
protocol, which still lacks the implementation of suitable security mechanisms such as …
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …
important to ensure the security of the network. Intrusion detection, as one of the important …
Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms
Z Wang, Y Deng, S Zhou, Z Wu - Resources Policy, 2023 - Elsevier
Under the rapid economic development trend, exploring the resource optimization strategy
of cultural and creative enterprises for sustainable socio-economic development is highly …
of cultural and creative enterprises for sustainable socio-economic development is highly …
Federated learning for intrusion detection system: Concepts, challenges and future directions
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …
making its infrastructure more complex and heterogeneous. The predominated usage of …
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …
various critical applications. However, these applications are still working on centralized …