Stockholm Communications 5g base station detection

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Spots with Extremely High Radiofrequency Radiation After

This study extends ongoing work measuring environmental exposure to radiofrequency (RF) radiation in the region, now including 5G alongside previous telecommunications generations.

Anomaly Detection Against Fake Base Station Threats Using

In this paper, we design and build an anomaly detection system to detect such active injection threats to the victim user equipment''s availability. Our detection scheme

A Study on the Implementation of a Network Function for

Emulating real-world 5G conditions, we implement a functional split in the 5G base station and deploy the False Base Station Detection Function (FDF) as a 5G NF (Network Function) within

Securing 5G Networks: Strategies for Prevention, Detection, and

However, in the event of network vulnerabilities leading to the failure of the detection system, this work presents a mitigation strategy aimed at preventing the UE from

5G Native Network Function for False Base Station Detection

Introduce a native 5G network function that can detect false base stations using ML algorithms. Built and configured a simulation environment that allows Functional Split and DU

New paper; Spots with Extremely High Radiofrequency Radiation

Since 2016 we have made several measurements of environmental exposure to RF radiation in Stockholm, Sweden, including previous generations and now also 5G. In the

Applying Machine Learning on RSRP-based Features for False Base Station

We evaluate four ML models (Regression Clustering, Anomaly Detection Forest, Autoencoder, and RCGAN) and show that several of them have a high precision in detection even when the

Applying Machine Learning on RSRP-based Features for False

We evaluate four ML models (Regression Clustering, Anomaly Detection Forest, Autoencoder, and RCGAN) and show that several of them have a high precision in detection even when the

Fake Base Station Detection and Link Routing Defense

We designed and built a defense scheme which detects and blacklists a fake base station and then, informed by the detection, avoids it through link routing for connectivity

Protecting networks with cyber defense solutions

Together these capabilities constitute the Ericsson RAN security threat detection solution for identifying false base stations. This is a software-only automated detection

SMDFbs: Specification-Based Misbehavior Detection for False

In this paper, we present a novel false base station attack detection system, leveraging behavior rule specification-based method tailored to the 5G ecosystem. Our proposed innovative

SMDFbs: Specification-Based Misbehavior Detection for False Base Stations

In this paper, we present a novel false base station attack detection system, leveraging behavior rule specification-based method tailored to the 5G ecosystem. Our proposed innovative

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