Feasibility of Signaling Storms in 3G/UMTS Operational Networks

Francois, Frederic; Abdelrahman, Omer H.; Gelenbe, Erol

doi:10.1007/978-3-319-47063-4_17

Cited by 5 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The related problems are exacerbate by the fact that most mobile phones offer opportunistic connections [84,85] to WIFI and other wireless networks which are not part of the mobile operators' core infrastructure. This creates vulnerabilities that need to be monitored on the mobile device itself, which is the motivation for the work in [26,81].…”

Section: Improving the Security Of Mobile Telephonymentioning

confidence: 99%

See 1 more Smart Citation

AI and Quality of Service Driven Attack Detection, Mitigation and Energy Optimization: A Review of Some EU Project Results

Caglayan

2022

Communications in Computer and Information Science

View full text Add to dashboard Cite

This article summarizes briefly the contributions presented in this EuroCyberSecurity Workshop 2021 which is organized as part of the series of International Symposia on Computer and Information Sciences (ISCIS), with the support of the European Commission funded IoTAC Project, that was held on November and in NIce, France, and sponsored by the Institute of Teoretical and Applied Informatics of the Polish Academy of Sciences. It also summarizes some of the research contributions of several EU Projects including NEMESYS, GHOST, KONFIDO, SDK4ED and IoTAC, primarily with a cybersecurity and Machine Learning orientation. Thus subjects covered include the cybersecurity of Mobile Networks and of the Internet of Things (IoT), the design of IoT Gateways and their performance, the security of networked health systems that provide health services to individuals across the EU Member states, as well as the issues of energy consumption by ICT which are becoming increasingly important, including in the cybersecurity perspective, as we focus increasingly on climate change and the needed transition towards highly reduced emissions. Many of the techniques and results discussed in this article are based either on Machine Learning (ML) methods, or on methods for the performance modeling and optimization of networked and distributed computer systems.

show abstract

Section: Improving the Security Of Mobile Telephonymentioning

confidence: 99%

“…It was also applied to mitigate worm attacks and to deviate user traffic so as to avoid insecure nodes [37,104,105]. Related issues include the management of keys [114,115], and the study and mitigation of signalling storms in mobile telephony [26,102].…”

Section: Improving the Security Of Mobile Telephonymentioning

confidence: 99%

AI and Quality of Service Driven Attack Detection, Mitigation and Energy Optimization: A Review of Some EU Project Results

Caglayan

2022

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

“…The related problems are axacerbated by the fact that most mobile phones offer opportunistic connections [49], [50] to WIFI and other wireless networks which are not part of the mobile operators' core infrastructure. This creates vulnerabilities that need to be monitored on the mobile device itself, which is the motivation for the work in [51], [52].…”

Section: Improving the Security Of Mobile Telephonymentioning

confidence: 99%

Review of Some Recent European Cybersecurity Research and Innovation Projects

Caglayan¹

2022

Infocommunications journal

View full text Add to dashboard Cite

This paper reviews research from several EU Projects that have addressed cybersecurity using techniques based on Machine Learning, including the security of Mobile Networks and the Internet of Things (IoT). These research projects have considered IoT Gateways and their design, security and performance, the security of digital health systems that are interconnected across Europe to provide health services to pople who travel through the EU, and related issues of the energy consumption and sustainability in Information and Communication Technologies (ICT) and their cybersecurity. The methods used in much of these research projects are based on Machine Learning both for attack detection and dynamic attack mitigation, as well as performance analysis and measurement techniques based on applied probability models.

show abstract

“…Furthermore, while work in [21,33] focuses on a general defensive approach against DoS attacks in future networks, signalling storm specific research can roughly be categorised in the following groups: problem definition and attacks classification [5,30,31,41]; measurements in real operating networks [11,40]; modelling and simulation [1,27]; impact of attacks on energy consumption [10,12]; attacks detection and mitigation, using counters [19,20,38], change-point detection techniques [32,42], IP packet analysis [28], randomisation in RRC's functions [45], software changes in the mobile terminal [8,34], monitoring terminal's bandwidth usage [39], and detection using techniques from Artificial Intelligence [2]. As we look to the future, such as the Internet of Things (IoT), various forms of attacks will also have to be considered [6,9].…”

Section: Introductionmentioning

confidence: 99%

Signalling Attacks in Mobile Telephony

Pavloski

2018

Communications in Computer and Information Science

View full text Add to dashboard Cite

Abstract. Many emerging Internet of Things devices, gateways and networks, rely either on mobile networks or on Internet Protocols to support their connectivity. However it is known that both types of networks are susceptible to different types of attacks that can significantly disrupt their operations. In particular 3rd and 4th generation mobile networks experience signalling related attacks, such as signalling storms, that have been a common problem in the last decade. This paper presents a generic model of a mobile network that includes different end user behaviours, including possible attacks to the signalling system. We then suggest two attack detection mechanisms, and evaluate them by analysis and simulation based on the generic mobile network model. Our findings suggest that mobile networks can be modified to be able to automatically detect attacks. Our results also suggest that attack mitigation can be carriedout both via the signalling system and on a "per mobile terminal" basis.

show abstract

Feasibility of Signaling Storms in 3G/UMTS Operational Networks

Cited by 5 publications

References 12 publications

AI and Quality of Service Driven Attack Detection, Mitigation and Energy Optimization: A Review of Some EU Project Results

AI and Quality of Service Driven Attack Detection, Mitigation and Energy Optimization: A Review of Some EU Project Results

Review of Some Recent European Cybersecurity Research and Innovation Projects

Signalling Attacks in Mobile Telephony

Contact Info

Product

Resources

About