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Surveying trust-based collaborative intrusion detection: state-of-the-art, challenges and future directions
Owing to the swift growth in cyber attacks, intrusion detection systems (IDSs) have become a
necessity to help safeguard personal and organizational assets. However, with the …
necessity to help safeguard personal and organizational assets. However, with the …
[PDF][PDF] A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches
Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional
healthcare system. However, little attention has been paid to their security requirements in …
healthcare system. However, little attention has been paid to their security requirements in …
[HTML][HTML] A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique
Software-defined networking (SDN) is a new networking paradigm that separates the
controller from the network devices ie routers and switches. The centralized architecture of …
controller from the network devices ie routers and switches. The centralized architecture of …
DL‐IDS: Extracting Features Using CNN‐LSTM Hybrid Network for Intrusion Detection System
Many studies utilized machine learning schemes to improve network intrusion detection
systems recently. Most of the research is based on manually extracted features, but this …
systems recently. Most of the research is based on manually extracted features, but this …
A machine learning approach for anomaly detection in industrial control systems based on measurement data
Attack detection problems in industrial control systems (ICSs) are commonly known as a
network traffic monitoring scheme for detecting abnormal activities. However, a network …
network traffic monitoring scheme for detecting abnormal activities. However, a network …
A privacy-preserving-based secure framework using blockchain-enabled deep-learning in cooperative intelligent transport system
Cooperative Intelligent Transport System (C-ITS) is a promising technology that aims to
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
Self-supervised vision transformer-based few-shot learning for facial expression recognition
Facial expression recognition (FER) is embedded in many real-world human-computer
interaction tasks, such as online learning, depression recognition and remote diagnosis …
interaction tasks, such as online learning, depression recognition and remote diagnosis …
A blockchain-based location privacy-preserving crowdsensing system
With the support of portable electronic devices and crowdsensing, a new class of mobile
applications based on the Internet of Things (IoT) application is emerging. Crowdsensing …
applications based on the Internet of Things (IoT) application is emerging. Crowdsensing …
DMAIDPS: A distributed multi-agent intrusion detection and prevention system for cloud IoT environments
Abstract Cloud Internet of Things (CIoT) environments, as the essential basis for computing
services, have been subject to abuses and cyber threats. The adversaries constantly search …
services, have been subject to abuses and cyber threats. The adversaries constantly search …
Intrusion detection systems: A state-of-the-art taxonomy and survey
Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …
of networks. These systems have the potential to identify and report deviations from normal …