Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments

W Li, W Meng, MH Au - Journal of Network and Computer Applications, 2020 - Elsevier
Collaborative intrusion detection systems (CIDSs) are developing to improve the detection
performance of a single detector in Internet of Things (IoT) networks, through exchanging …

Daas: Dew computing as a service for intelligent intrusion detection in edge-of-things ecosystem

P Singh, A Kaur, GS Aujla, RS Batth… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Edge of Things (EoT) enables the seamless transfer of services, storage, and data
processing from the cloud layer to edge devices in a large-scale distributed Internet of …

Detecting insider attacks in medical cyber–physical networks based on behavioral profiling

W Meng, W Li, Y Wang, MH Au - Future Generation Computer Systems, 2020 - Elsevier
Cyber–physical systems (CPS) have been widely used in medical domains to provide high-
quality patient treatment in complex clinical scenarios. With more medical devices being …

Enhancing challenge-based collaborative intrusion detection networks against insider attacks using blockchain

W Meng, W Li, LT Yang, P Li - International Journal of Information Security, 2020 - Springer
Due to the rapid growth of computer networks, intrusions have become more complicated
and devastating. As an important solution, collaborative intrusion detection networks or …

A framework of blockchain-based collaborative intrusion detection in software defined networking

W Li, J Tan, Y Wang - Network and System Security: 14th International …, 2020 - Springer
To protect network assets from various cyber intrusions and fit the distributed environments
like Internet of Things (IoTs), collaborative intrusion detection systems (CIDSs) are widely …

Prioritization and alert fusion in distributed iot sensors using kademlia based distributed hash tables

M Nasir, K Muhammad, P Bellavista, MY Lee… - IEEE …, 2020 - ieeexplore.ieee.org
Distributed intrusion detection systems (IDS) are primarily deployed across the network to
monitor, detect, and report anomalies, as well as to respond in real-time. Predominantly, an …

Towards collaborative intrusion detection enhancement against insider attacks with multi-level trust

W Li, W Meng, H Zhu - … on Trust, Security and Privacy in …, 2020 - ieeexplore.ieee.org
With the speedy growth of distributed networks such as Internet of Things (IoT), there is an
increasing need to protect network security against various attacks by deploying …

[HTML][HTML] Evaluating a blockchain-based network performance for the intrusion detection system

IA Burmaka, VV Lytvynov, IS Skiter… - … машины и системы, 2020 - cyberleninka.ru
Intrusion detection systems are the important part of every corporate network. But current
amount of network traffic in corporate network is so big that centralized intrusion detection …

Modely důvěry pro distibuované sdílení dat v nedůvěryhodné síti

H Dita - 2020 - dspace.cvut.cz
Systémy pro odhalení průniku (IPS) slouží k hledání a blokování síťových útoků. Ačkoliv
může v jedné síti být více zařízení vybavených systémem IPS, v současném stavu techniky …