Machine learning for cloud security: a systematic review
The popularity and usage of Cloud computing is increasing rapidly. Several companies are
investing in this field either for their own use or to provide it as a service for others. One of …
investing in this field either for their own use or to provide it as a service for others. One of …
Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
Secure data storage and sharing techniques for data protection in cloud environments: A systematic review, analysis, and future directions
A large number of researchers, academia, government sectors, and business enterprises
are adopting the cloud environment due to the least upfront capital investment, maximum …
are adopting the cloud environment due to the least upfront capital investment, maximum …
Fedopt: Towards communication efficiency and privacy preservation in federated learning
Artificial Intelligence (AI) has been applied to solve various challenges of real-world
problems in recent years. However, the emergence of new AI technologies has brought …
problems in recent years. However, the emergence of new AI technologies has brought …
Federated learning: Applications, challenges and future directions
Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …
efforts of several clients to solve the issues of machine learning. This setting allows the …
An iot-centric data protection method for preserving security and privacy in cloud
A malevolent utility provider may extract outsourced data from the cloud while storing,
analyzing, and sharing the data among the involved entities to acquire sensitive information …
analyzing, and sharing the data among the involved entities to acquire sensitive information …
MLPAM: A machine learning and probabilistic analysis based model for preserving security and privacy in cloud environment
The organizational valuable data needs to be shared with multiple parties and stakeholders
in a cloud environment for storage, analysis, and data utilization. However, to ensure the …
in a cloud environment for storage, analysis, and data utilization. However, to ensure the …
[HTML][HTML] Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
Disbezant: secure and robust federated learning against byzantine attack in iot-enabled mts
With the intelligentization of Maritime Transportation System (MTS), Internet of Thing (IoT)
and machine learning technologies have been widely used to achieve the intelligent control …
and machine learning technologies have been widely used to achieve the intelligent control …
A differential approach and deep neural network based data privacy-preserving model in cloud environment
Data outsourcing has become indispensable to allow information sharing among multiple
parties. The users do not fully trust the cloud platform since it is operated by a third party …
parties. The users do not fully trust the cloud platform since it is operated by a third party …