NICRNov 5, 2014

Storms in Mobile Networks

arXiv:1411.1280v123 citations
Originality Synthesis-oriented
AI Analysis

This addresses service outages for mobile operators and users, but it is incremental as it builds on existing understanding of network vulnerabilities.

The paper tackled the problem of signaling attacks and storms in 3G and 4G mobile networks, which overload the control plane and cause service outages, by analyzing their effects with a mathematical model and simulations to predict congestion and propose mitigation strategies.

Mobile networks are vulnerable to signalling attacks and storms that are caused by traffic patterns that overload the control plane, and differ from distributed denial of service (DDoS) attacks in the Internet since they directly attack the control plane, and also reserve wireless bandwidth without actually using it. Such attacks can result from malware and mobile botnets, as well as from poorly designed applications, and can cause service outages in 3G and 4G networks which have been experienced by mobile operators. Since the radio resource control (RRC) protocol in 3G and 4G networks is particularly susceptible to such attacks, we analyze their effect with a mathematical model that helps to predict the congestion that is caused by an attack. A detailed simulation model of a mobile network is used to better understand the temporal dynamics of user behavior and signalling in the network and to show how RRC based signalling attacks and storms cause significant problems in the control plane and the user plane of the network. Our analysis also serves to identify how storms can be detected, and to propose how system parameters can be chosen to mitigate their effect.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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