Robust distributed intrusion detection system for edge of things
W Lalouani, M Younis - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
The edge computing paradigm has been adopted in many Internet-of-Things (IoT)
applications to improve responsiveness and conserve communication resources. However …
applications to improve responsiveness and conserve communication resources. However …
Federated Learning-Based Intrusion Detection System for IoT Environments with Locally Adapted Model
S Roy, J Li, Y Bai - 2023 IEEE 10th International Conference on …, 2023 - ieeexplore.ieee.org
As the Internet of Things (IoT) becomes more prevalent, the need for intrusion detection
systems (IDS) to protect against cyberattacks increases. However, the limited computing …
systems (IDS) to protect against cyberattacks increases. However, the limited computing …
Internet of things intrusion detection: Centralized, on-device, or federated learning?
With the ever increasing number of cyber-attacks, internet of Things (ioT) devices are being
exposed to serious malware, attacks, and malicious activities alongside their development …
exposed to serious malware, attacks, and malicious activities alongside their development …
[HTML][HTML] A federated learning-based zero trust intrusion detection system for Internet of Things
The rapid expansion of Internet of Things (IoT) devices presents unique challenges in
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
Lightweight, Trust-Managing, and Privacy-Preserving Collaborative Intrusion Detection for Internet of Things
This research introduces a comprehensive collaborative intrusion detection system (CIDS)
framework aimed at bolstering the security of Internet of Things (IoT) environments by …
framework aimed at bolstering the security of Internet of Things (IoT) environments by …
Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
SURFS: sustainable intrusion detection with hierarchical federated spiking neural networks
The rapid proliferation of Internet of Things (IoT) devices and the transition to distributed
computing environments necessitate advanced intrusion detection systems (IDS) to …
computing environments necessitate advanced intrusion detection systems (IDS) to …
A deep intrusion detection system in lambda architecture based on edge cloud computing for IoT
R Alghamdi, M Bellaiche - … on artificial intelligence and big data …, 2021 - ieeexplore.ieee.org
IoT devices enable a massive amount of data to be aggregated and analyzed for anomaly
detection. The nature of heterogeneous devices introduces the challenge of collecting and …
detection. The nature of heterogeneous devices introduces the challenge of collecting and …
Landscape of learning techniques for intrusion detection system in IoT: A systematic literature review
The IoT has interconnected devices that collaborate via the Internet. Yet, its widespread
connectivity and data generation pose cybersecurity risks. Integrating robust intrusion …
connectivity and data generation pose cybersecurity risks. Integrating robust intrusion …
A comparative study of techniques, datasets and performances for intrusion detection systems in IoT
A Boyanapalli, A Shanthini - Artificial Intelligence Techniques for …, 2021 - Springer
IoT Security is the area concerned with safeguarding connected systems. IoT involves the
set-up of various integrated devices. Devices are identified with a unique identifier, and …
set-up of various integrated devices. Devices are identified with a unique identifier, and …