5G URLLC: A Case Study on Low-Latency Intrusion Prevention

Gallenmüller, Sebastian; Naab, Johannes; Adam, Iris; Carle, Georg

doi:10.1109/mcom.001.2000467

Cited by 21 publications

(13 citation statements)

References 9 publications

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“…They propose a synchronized programming model to simplify application development for low-latency applications. In previous work [2,3], we demonstrated that high reliability and low latency could be achieved on off-the-shelf hardware and virtualized systems, using a DPDK-accelerated Snort. However, the latency was still subject to interrupts causing latency spikes in the s-range.…”

Section: Background and Related Workmentioning

confidence: 95%

How Low Can You Go? A Limbo Dance for Low-Latency Network Functions

et al. 2022

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Throughput is a commonly used performance indicator for networks. However, throughput may be considered insignificant if data is outdated or networks become unpredictable or unreliable. Critical services may even prioritize latency, predictability, and reliability at the expense of throughput to avoid detrimental effects on service operation. Latency, predictability, and reliability are distinct qualities realized in real-time systems. Real-time systems often require additional effort using non-standard interfaces, requiring customized software, or providing low throughput figures. This work picks up the challenge and investigates a single-server network function—a building block for end-to-end low-latency network applications. Assessing reliability and quantifying low latency is equally challenging, as sub-microsecond latency and $$1/10^{5}$$ 1 / 10 5 loss probability leave little room for error. Both, our measurement and the investigated platforms, rely on Linux running on off-the-shelf components. Our paper provides a comprehensive study on the impact of various components on latency and reliability, such as the central processing unit (CPU), the Linux Kernel, the network card, virtualization features, and the networking application itself. We chose Suricata, an intrusion prevention system (IPS), representing a widely deployed, typical network application as our primary subject of investigation.

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Section: Background and Related Workmentioning

confidence: 95%

How Low Can You Go? A Limbo Dance for Low-Latency Network Functions

et al. 2022

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“…With the advancement of network slicing technologies in both academia and industry, several Proof-of-Concept (PoC) products have been developed and demonstrated in a range of application areas. Typical examples include: GSMA network slicing PoC for power grid 16 , ETSI GANA (Generic Autonomic Networking Architecture) model in 5G network slicing 17 that includes six proof-of-concept from 2018 to 2020, Cisco's PoC for KDDI 5G standalone network with network slicing features 18 , SLICENET project's PoC on predictive fault management of E2E multi-domain network slicing 19 , and UK's 5G network slicing PoC 20 that includes mobile virtual 13 https://news.cision.com/ranplan-wireless/i/ 5g-network-slicing-optimisatoin-graphic-correlation,c2762185…”

Section: H Proof-of-concept Productsmentioning

confidence: 99%

A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

Dai²,

Wang

et al. 2022

IEEE Commun. Surv. Tutorials

150

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“…In the current 5G era, the overloaded traffic has already received much attention. A research study focused on the latency performance of Snort 3 (an open source intrusion prevention system) and found that such system could not provide ultra-reliable low-latency communication (URLLC)-compliant quality-of-service (QoS) under the moderate packet rate of 10k packets/s [3]. Then some guidelines and a new system architecture were proposed to decrease latency and achieve low-latency network functions.…”

Section: Challenges Of Trust Management In 6gmentioning

confidence: 99%

“…While latency is a big limitation for deploying an IDS in a heavy traffic environment. A low-latency IDS was examined in 5G by using a specialized packet processing framework [3]. It is found that an overload situation has to be avoided in order to reduce packet loss and communication latency.…”

Section: Introductionmentioning

confidence: 99%

BCTrustFrame: Enhancing Trust Management via Blockchain and IPFS in 6G Era

Meng

2022

IEEE Network

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5G URLLC: A Case Study on Low-Latency Intrusion Prevention

Cited by 21 publications

References 9 publications

How Low Can You Go? A Limbo Dance for Low-Latency Network Functions

How Low Can You Go? A Limbo Dance for Low-Latency Network Functions

A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

BCTrustFrame: Enhancing Trust Management via Blockchain and IPFS in 6G Era

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