Side Channel Attack-Aware Resource Allocation for URLLC and eMBB Slices in 5G RAN

Li, Yajie; Zhao, Yongli; Li, Jun; Zhang, Jiawei; Yu, Xiaosong

doi:10.1109/access.2019.2962179

Cited by 21 publications

(7 citation statements)

References 22 publications

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“…Sharing of the physical resources and logical instead of physical isolation of network resources, however, continues to represent a key security concern for PPDR and slice security is a major research challenge. Distributed Denial of Service attacks (DDoS), side channel attacks across slices, and exhaustion of security resources are the most prevalent threats and a number of approaches and techniques are proposed to mitigate them and ensure end-to-end slice security [123]- [125]. Numerous different approaches exist that in general rely on intra-slice and inter-slice isolation, which constitutes a number of further aspects, including reservation of host and network resources for a particular slice, smart resource allocation techniques and end-to-end quality of service (QoS) guarantees [126].…”

Section: F Network Slicingmentioning

confidence: 99%

5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

Volk

Sterle

2021

IEEE Access

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Today, legacy PMRs continue to be the only group of tested, verified and certified technologies for the Public Protection and Disaster Relief (PPDR) sector. For the fifth generation (5G) to follow suit, substantial hands-on experimentation with functional, architectural and deployment aspects is required, and further test trials need to take place in order to inform and enable future verification and certification procedures for 5G to become a proven PPDR technology. This paper studies 5G PPDR experimentation associated with novel virtualized and cloud-native 5G technologies, architectures and deployment options, as well as feasibility studies and field performance and verifications trials involving vertical-specific 5G infrastructures and applications. Key enabling technologies, such as massive multiple input multiple output (MIMO), device-to-device (D2D), network slicing and multi-access edge computing (MEC) are discussed and 5G PPDR architecture and deployment options are investigated. A dedicated 5G PPDR experimentation facility is presented, and a case study of hands-on experimentation is provided. Two distinct scenarios are discussed, i.e., emergency augmentation of the terrestrial 5G PPDR network with rapidly deployable on-site capacities in the area of a public safety incident, and availability and reliability of decision-support PPDR applications on the field. Experience with the deployment and verification insights are accompanied by the results of quality of service (QoS) and non-functional key performance indicators (KPI) assessment that were exhibited during the experiment. The experimentation outcomes confirm the ability of the facility to support emulated laboratory experimentation specifically designed to tackle 5G challenges for this particular vertical as well as field studies recreating realistic public safety operations.INDEX TERMS 5G, mobile communications, public safety, public protection and disaster relief, mission critical communications, network architecture, network deployment, experimentation, field trial.

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Section: F Network Slicingmentioning

confidence: 99%

5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

Volk

Sterle

2021

IEEE Access

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“…All this should increase the security during the transmission of the packets and facilitate the detection of the presence of the MITM attack. The paper [38] also mentioned that a MITM Attacks targeting OpenFlow channel security can be resolved by the Bloom filter model proposed by the researchers. This model is lightweight, stretch the OpenFlow protocol, and can detect hidden modifications to the data packets that the attacker might make.…”

Section: Mitm Attackmentioning

confidence: 99%

“…Table 4 summarizes the references and Security attack. [25] 2018 YES YES YES YES [32] 2019 YES [33] 2020 YES [34] 2018 YES [35] 2020 YES [36] 2019 YES YES [37] 2019 YES [38] 2017 YES [39] 2019 YES YES [40] 2020 YES…”

Section: Side Channel Attackmentioning

confidence: 99%

Security Attacks on the IoT Network with 5G Wireless Communication

Aljumaie¹,

Alzeer²,

Alshamrani³

2021

Journal on Internet of Things

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The term Internet of Things has increased in popularity in recent years and has spread to be used in many applications around us, such as healthcare applications, smart homes and smart cities, IoT is a group of smart devices equipped with sensors that have the ability to calculate data, and carry out actions in the environment in which they are located, they are connected to each other through the Internet and recently it has become supported by 5G technology due to many advantages such as its ability to provide a fast connection, despite the efficiency of the IoT supported by the five G technology, it is subject to many security challenges. In this paper, we conducted a comprehensive review of previous research related to the security requirements of the IoT and security attacks.

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“…This finding increase network capacity, lower the cost of infrastructure per bit, and give network management more flexibility. Additionally, steady movement of pertinent network functions out to the edge [2][3]. This lowers latency by bringing processing nearer to the points of information generation and consumption.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Node Selection Approach for 6G Heterogeneous Cellular Networks (HCN) to Enhance QoS and Low Latency

Samuthira Pandi V

2024

jes

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A wireless multi-hop network is a group of nodes that can interact directly with one another or across longer distances by using other nodes as relay points and routers. 6G heterogeneous cellular network support several transmission modalities, such as single hop, multi-hop transmission and device-to-any device transmission. These transmission services can greatly increase 6G cellular network capacity, spectral efficiency, power efficiency, Quality of Service (QoS) and Ultra Reliable Low Latency Communication (URLLC). According to current research, Heterogeneous Cellular Networks (HCN) can benefit even more from the integration of demand-driven opportunistic networking into HCN. Devices can search look for the connections between nodes that are most efficient. in Proactive HCN connections by taking advantage of the URLLC acceptability of many mobile data services. Multiple Transmission modes necessitate node selection schemes that can determine the best node for each transmission. Previous proposals for node selection schemes have taken into account the introduction of D2X and HCN. Proactive HCN connections, however, cannot be incorporated into the selection process by current node selection schemes. By implementing outward the first node selection scheme that can incorporate Proactive HCN sharing information within 6G and beyond networks, this research work enhances the existing work. The analysis that was carried out shows the potential for Proactive HCN communications as well as the ability of the suggested node selection scheme to choose the best communication node to enhance QoS and Low Latency.

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Side Channel Attack-Aware Resource Allocation for URLLC and eMBB Slices in 5G RAN

Cited by 21 publications

References 22 publications

5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

Security Attacks on the IoT Network with 5G Wireless Communication

Dynamic Node Selection Approach for 6G Heterogeneous Cellular Networks (HCN) to Enhance QoS and Low Latency

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