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

Machine Learning Models for Secure Data Analytics: A taxonomy and threat model

(2020) Rajesh Gupta et al.   COMPUTER COMMUNICATIONS

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

(2020) Swarna Priya R.M. et al.   COMPUTER COMMUNICATIONS

IoT malicious traffic identification using wrapper-based feature selection mechanisms

(2020) Muhammad Shafiq et al.   COMPUTERS & SECURITY

SDN-Powered Humanoid With Edge Computing for Assisting Paralyzed Patients

(2020) Varun G. Menon et al.   IEEE Internet of Things Journal

A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing

(2020) Prabhat Kumar et al.   Transactions on Emerging Telecommunications Technologies

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

(2020) Muhammad Shafiq et al.   IEEE Internet of Things Journal

Wearable biosensors for healthcare monitoring

(2019) Jayoung Kim et al.   NATURE BIOTECHNOLOGY

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

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

A new hybrid approach for intrusion detection using machine learning methods

(2019) Ünal Çavuşoğlu   APPLIED INTELLIGENCE

Efficient physical intrusion detection in Internet of Things: A Node deployment approach

(2019) Subir Halder et al.   Computer Networks

A review of feature selection methods in medical applications

(2019) Beatriz Remeseiro et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Edge computing in smart health care systems: Review, challenges, and research directions

(2019) Morghan Hartmann et al.   Transactions on Emerging Telecommunications Technologies

Smart Healthcare in the Era of Internet-of-Things

(2019) Hongxu Zhu et al.   IEEE Consumer Electronics Magazine

Intrusion Detection Based on Stacked Autoencoder for Connected Healthcare Systems

(2019) Daojing He et al.   IEEE NETWORK

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

(2019) Arwa Aldweesh et al.   KNOWLEDGE-BASED SYSTEMS

Intelligence in the Internet of Medical Things era: A systematic review of current and future trends

(2019) Fadi Al-Turjman et al.   COMPUTER COMMUNICATIONS

Securing internet of medical things systems: Limitations, issues and recommendations

(2019) Jean-Paul A. Yaacoub et al.   Future Generation Computer Systems-The International Journal of eScience

OpCloudSec: Open cloud software defined wireless network security for the Internet of Things

(2018) Pradip Kumar Sharma et al.   COMPUTER COMMUNICATIONS

IoT Survey: An SDN and Fog Computing Perspective

(2018) Ola Salman et al.   Computer Networks

Correntropy-Based Evolving Fuzzy Neural System

(2018) Rong-Jing Bao et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Security and Privacy in the Medical Internet of Things: A Review

(2018) Wencheng Sun et al.   Security and Communication Networks

Multi-tenant intrusion detection system for public cloud (MTIDS)

(2018) Mohamed Hawedi et al.   JOURNAL OF SUPERCOMPUTING

Enabling technologies for fog computing in healthcare IoT systems

(2018) Ammar Awad Mutlag et al.   Future Generation Computer Systems-The International Journal of eScience

Fog Computing for the Internet of Things: Security and Privacy Issues

(2017) Arwa Alrawais et al.   IEEE INTERNET COMPUTING

A survey on cloud computing security: Issues, threats, and solutions

(2016) Saurabh Singh et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Enhancing Big Data Security with Collaborative Intrusion Detection

(2015) Zhiyuan Tan et al.   IEEE Cloud Computing

CloudMon: a resource-efficient IaaS cloud monitoring system based on networked intrusion detection system virtual appliances

(2013) Bo Li et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE