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Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
Blockchain-based federated learning with enhanced privacy and security using homomorphic encryption and reputation
Federated learning, leveraging distributed data from multiple nodes to train a common
model, allows for the use of more data to improve the model while also protecting the privacy …
model, allows for the use of more data to improve the model while also protecting the privacy …
Integrating Explainable AI with Federated Learning for Next-Generation IoT: A comprehensive review and prospective insights
The emergence of the Internet of Things (IoT) signifies a transformative wave of innovation,
establishing a network of devices designed to enrich everyday experiences. Develo** …
establishing a network of devices designed to enrich everyday experiences. Develo** …
Leveraging network data analytics function and machine learning for data collection, resource optimization, security and privacy in 6G networks
The full deployment of sixth-generation (6G) networks is inextricably connected with a
holistic network redesign able to deal with various emerging challenges, such as integration …
holistic network redesign able to deal with various emerging challenges, such as integration …
Efficiency of federated learning and blockchain in preserving privacy and enhancing the performance of credit card fraud detection (CCFD) systems
Increasing global credit card usage has elevated it to a preferred payment method for daily
transactions, underscoring its significance in global financial cybersecurity. This paper …
transactions, underscoring its significance in global financial cybersecurity. This paper …
Fedsbs: Federated-learning participant-selection method for intrusion detection systems
Federated Learning (FL) is a decentralized machine learning approach in which multiple
participants collaboratively train a model. Participants keep data locally, train their local …
participants collaboratively train a model. Participants keep data locally, train their local …
A multifaceted survey on federated learning: Fundamentals, paradigm shifts, practical issues, recent developments, partnerships, trade-offs, trustworthiness, and ways …
Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …
environments because it does not require data to be aggregated in some central place to …
Fortifying federated learning in IIoT: Leveraging blockchain and digital twin innovations for enhanced security and resilience
Ensuring robustness against adversarial attacks is imperative for Machine Learning (ML)
systems within the critical infrastructures of the Industrial Internet of Things (IIoT). This paper …
systems within the critical infrastructures of the Industrial Internet of Things (IIoT). This paper …
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
The integration of Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) in
healthcare, through Machine Learning (ML) and Deep Learning (DL) techniques, has …
healthcare, through Machine Learning (ML) and Deep Learning (DL) techniques, has …
Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey
With the rapid development of artificial intelligence and a new generation of network
technologies, the Internet of Things (IoT) is expanding worldwide. Malicious agents …
technologies, the Internet of Things (IoT) is expanding worldwide. Malicious agents …