Mitigating the Massive Access Problem in the Internet of Things

Gelenbe, Erol; Nakıp, Mert; Marek, Dariusz; Czachórski, Tadeusz

doi:10.1007/978-3-031-09357-9_10

Cited by 2 publications

(2 citation statements)

References 49 publications

(94 reference statements)

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“…The subsequent IoTAC project has lead to incremental techniques for learning from user traffic and then testing for an attack as described in [95]. In IoTAC, there was also substantial work on dealing with severe performance issues due to the large flows of IoT packets towards gateways from thousands of IoT devices, so that the resulting Massive Access Problem (MAP) has to be mitigated with novel traffic shaping techniques [47].…”

Section: Contributions To the Security Of The Iotmentioning

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

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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.

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Section: Contributions To the Security Of The Iotmentioning

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

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“…The subsequent IoTAC project has lead to novel techniques for learning from user traffic and then testing for an attack as described in [181]. In IoTAC, there is also substantial work on dealing with severe performance issues due to the large flows of IoT packets towards gateways from thousands of IoT devices, so that the resulting Massive Access Problem (MAP) has to be mitigated with novel traffic shaping techniques [40], [41], [182], [183].…”

Section: The Iotac Projectmentioning

confidence: 99%

Review of Some Recent European Cybersecurity Research and Innovation Projects

Caglayan¹

2022

Infocommunications journal

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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.

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Mitigating the Massive Access Problem in the Internet of Things

Cited by 2 publications

References 49 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

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