Federated learning for malware detection in IoT devices

The Road beyond 5G: A Vision and Insight of the Key Technologies

(2020) Konstantinos Samdanis et al.   IEEE NETWORK

A dynamic and hierarchical access control for IoT in multi-authority cloud storage

(2020) Khaled Riad et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Federated learning for 6G communications: Challenges, methods, and future directions

(2020) Yi Liu et al.   China Communications

IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network

(2020) Christos L. Stergiou et al.   IEEE Internet of Things Journal

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

(2019) Nickolaos Koroniotis et al.   Future Generation Computer Systems-The International Journal of eScience

IoT transaction processing through cooperative concurrency control on fog–cloud computing environment

(2019) Ahmad Al-Qerem et al.   SOFT COMPUTING

Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection

(2019) Amaal Al Shorman et al.   Journal of Ambient Intelligence and Humanized Computing

Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study

(2018) Davy Preuveneers et al.   Applied Sciences-Basel

Security in Internet of Things: issues, challenges, taxonomy, and architecture

(2017) Vipindev Adat et al.   TELECOMMUNICATION SYSTEMS

Applying the dynamics of evolution to achieve reliability in master-worker computing

(2013) Evgenia Christoforou et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE