most citedAn Intrusion Detection System based on Deep Belief Networks

69 citations · 83 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2023

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Carnelli +12

The way we travel is changing rapidly, and Cooperative Intelligent Transportation Systems (C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduce…

cs.CR2023★ 3 cited

Federated Deep Learning for Intrusion Detection in IoT Networks

Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi +3

The vast increase of Internet of Things (IoT) technologies and the ever-evolving attack vectors have increased cyber-security risks dramatically. A common approach to implementing…

cs.LG2023★ 1 cited

Hierarchical and Decentralised Federated Learning

Omer Rana, Theodoros Spyridopoulos, Nathaniel Hudson +4

Federated learning has shown enormous promise as a way of training ML models in distributed environments while reducing communication costs and protecting data privacy. However, th…

cs.DC2023★ 7 cited

Challenges in the Design and Implementation of IoT Testbeds in Smart-Cities: A Systematic Review

Vijay Kumar, Sam Gunner, Theodoros Spyridopoulos +5

Advancements in wireless communication and the increased accessibility to low-cost sensing and data processing IoT technologies have increased the research and development of urban…

cs.CR2022★ 1 cited

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection

James Pope, Jinyuan Liang, Vijay Kumar +13

Security research has concentrated on converting operating system audit logs into suitable graphs, such as provenance graphs, for analysis. However, provenance graphs can grow very…

cs.LG2022★ 2 cited

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices

Ioannis Mavromatis, Adrian Sanchez-Mompo, Francesco Raimondo +8

Data integrity becomes paramount as the number of Internet of Things (IoT) sensor deployments increases. Sensor data can be altered by benign causes or malicious actions. Mechanism…

cs.CR2022★ 69 cited

An Intrusion Detection System based on Deep Belief Networks

Othmane Belarbi, Aftab Khan, Pietro Carnelli +1

The rapid growth of connected devices has led to the proliferation of novel cyber-security threats known as zero-day attacks. Traditional behaviour-based IDS rely on DNN to detect…