activity
20222026
most citedAn Intrusion Detection System based on Deep Belief Networks

69 citations · 88 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.NI2022

Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless

Adnan Aijaz, Nan Jiang, Aftab Khan

Time-critical control applications typically pose stringent connectivity requirements for communication networks. The imperfections associated with the wireless medium such as pack…

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.LG2022

Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework

Ioannis Mavromatis, Aftab Khan

This paper presents LE3D; a novel data drift detection framework for preserving data integrity and confidentiality. LE3D is a generalisable platform for evaluating novel drift dete…

cs.CV2022★ 13 cited

A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges

Diya Anand, Ioannis Mavromatis, Pietro Carnelli +1

Data-enabled cities are recently accelerated and enhanced with automated learning for improved Smart Cities applications. In the context of an Internet of Things (IoT) ecosystem, t…

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…