Temporal and Spatial Analysis of Fake Base Stations

Spatial and Temporal Analysis of Dusty Days in Iran

Iran is one of the world's arid regions and exposed to dust particles in the air. This is important in spatial and temporal terms as well as the affects human health. In this paper a day when due to the amount of dust particles visibility reduces to 5,000 m is considered the dusty day. In the spatial and temporal analysis of dusty days 38 synoptic stations were studied. In order to conduct data...

Spatial and Temporal Analysis of Dusty Days in Iran

Iran is one of the world's arid regions and exposed to dust particles in the air. This is important in spatial and temporal terms as well as the affects human health. In this paper a day when due to the amount of dust particles visibility reduces to 5,000 m is considered the dusty day. In the spatial and temporal analysis of dusty days 38 synoptic stations were studied. In order to conduct data...

FBS-Radar: Uncovering Fake Base Stations at Scale in the Wild

Base stations constitute the basic infrastructure of today’s cellular networks. Unfortunately, vulnerabilities in the GSM (2G) network protocol enable the creation of fake base stations (FBSes) that are not authorized by network operators. Criminal gangs are using FBSes to directly attack users by sending spam and fraud SMS messages, even if the users have access to 3G/4G networks. In this pape...

Safety Issues of Mobile Phone Base Stations

Spatial stochastic models for analysis of heterogeneous cellular networks with repulsively deployed base stations

We consider spatial stochastic models of downlink heterogeneous cellular networks (HCNs) with multiple tiers, where the base stations (BSs) of each tier have a particular spatial density, transmission power and path-loss exponent. Prior works on such spatial models of HCNs assume, due to its tractability, that the BSs are deployed according to homogeneous Poisson point processes. This means tha...