Securing IoT and SDN systems using deep-learning based automatic intrusion detection

SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

(2021) Randhir Kumar et al.   Computer Networks

A review of enabling technologies for Internet of Medical Things (IoMT) Ecosystem

(2021) Zarlish Ashfaq et al.   Ain Shams Engineering Journal

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems

(2020) Waqas Haider et al.   COMPUTERS & SECURITY

An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks

(2020) Prabhat Kumar et al.   COMPUTER COMMUNICATIONS

Unsupervised feature selection and cluster center initialization based arbitrary shaped clusters for intrusion detection

(2020) Mahendra Prasad et al.   COMPUTERS & SECURITY

TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning

(2020) Prabhat Kumar et al.   JOURNAL OF SYSTEMS ARCHITECTURE

Internet of Things: A survey on machine learning-based intrusion detection approaches

(2019) Kelton A.P. da Costa et al.   Computer Networks

A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks

(2019) Marwa Keshk et al.   IEEE Transactions on Industrial Informatics

A comprehensive study on APT attacks and countermeasures for future networks and communications: challenges and solutions

(2016) Saurabh Singh et al.   JOURNAL OF SUPERCOMPUTING