43 citations · 115 across the 16 of their papers we have counts for
18 papers
On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats
Younes Salmi, Hanna Bogucka
Deep learning (DL) has been widely studied for assisting applications of modern wireless communications. One of the applications is automatic modulation classification (AMC). Howev…
Physical Backdoor Attack Against Deep Learning-Based Modulation Classification
Younes Salmi, Hanna Bogucka
Deep Learning (DL) has become a key technology that assists radio frequency (RF) signal classification applications, such as modulation classification. However, the DL models are v…
Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening
Younes Salmi, Hanna Bogucka
This paper investigates the susceptibility to model integrity attacks that overload virtual machines assigned by the k-means algorithm used for resource provisioning in fog network…
Nonlinear symbols combining for Power Amplifier-distorted OFDM signal reception
Pawel Kryszkiewicz, Hanna Bogucka
Nonlinear distortion of a multicarrier signal by a transmitter Power Amplifier (PA) can be a serious problem when designing new highly energy-efficient wireless systems. Although t…
An Open-RAN Testbed for Detecting and Mitigating Radio-Access Anomalies
Hanna Bogucka, Marcin Hoffmann, Paweł Kryszkiewicz +1
This paper presents the Open Radio Access Net-work (O-RAN) testbed for secure radio access. We discuss radio-originating attack detection and mitigation methods based on anomaly de…
Open RAN xApps Design and Evaluation: Lessons Learnt and Identified Challenges
Marcin Hoffmann, Salim Janji, Adam Samorzewski +6
Open Radio Access Networks (RAN) offer diverse economic opportunities. A transition to a flexible, modular approach within the disaggregated RAN framework is crucial, involving car…