611 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OttawaCA11 papers
- Concordia UniversityCA3 papers
- University of WaterlooCA3 papers
- Ciena (United States)US2 papers
- Huawei Technologies (Canada)CA2 papers
- Terry Fox Research InstituteCA2 papers
- Alcatel-Lucent (United States)US1 paper
- Athens Information TechnologyGR1 paper
- BT Group (United Kingdom)GB1 paper
- Centre for Ultrahigh Bandwidth Devices for Optical SystemsAU1 paper
- Chalmers University of TechnologySE1 paper
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE1 paper
6 papers · 1 filter
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark
Yu Shen, Murat Simsek, Burak Kantarci +3
The number of Internet of Things (IoT) devices being deployed into networks is growing at a phenomenal level, which makes IoT networks more vulnerable in the wireless medium. Advan…
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection
Jinxin Liu, Murat Simsek, Burak Kantarci +2
Intrusion Detection Systems (IDS) are critical security mechanisms that protect against a wide variety of network threats and malicious behaviors on networks or hosts. As both Netw…
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen, Jinxin Liu, Yu Shen +4
Despite its technological benefits, Internet of Things (IoT) has cyber weaknesses due to the vulnerabilities in the wireless medium. Machine learning (ML)-based methods are widely…
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du, David Cote, Yan Liu
Missing data in time series is a pervasive problem that puts obstacles in the way of advanced analysis. A popular solution is imputation, where the fundamental challenge is to dete…
Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments
Marco Pistoia, Omar Amer, Monik R. Behera +16
This article describes experimental research studies conducted towards understanding the implementation aspects of high-capacity quantum-secured optical channels in mission-critica…
Forecasting Loss of Signal in Optical Networks with Machine Learning
Wenjie Du, David Cote, Chris Barber +1
Loss of Signal (LOS) represents a significant cost for operators of optical networks. By studying large sets of real-world Performance Monitoring (PM) data collected from six inter…