Security for 5G and Beyond

Ahmad, Ijaz; Shahabuddin, Shahriar; Kumar, Tanesh; Okwuibe, Jude; Gurtov, Andrei; Ylianttila, Mika

doi:10.1109/comst.2019.2916180

Cited by 291 publications

(200 citation statements)

References 305 publications

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“…Software-based transformation (i.e., softwarization) [72] cannot be implemented within the defined 5G implementation time frame. Other areas of beyond 5G include security [73,74], spectral and energy efficiency, resiliency (i.e., tolerance to interference and maintaining QoS), and MEC [58]. MEC and softwarization are among the promising candidates to provide a cost-effective, secure, manageable, and flexible architecture for 5G and beyond.…”

Section: G and Beyondmentioning

confidence: 99%

5G Ultra-Reliable Low-Latency Communication Implementation Challenges and Operational Issues with IoT Devices

2019

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To meet the diverse industrial and market demands, the International Telecommunication Union (ITU) has classified the fifth-generation (5G) into ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC). Researchers conducted studies to achieve the implementation of the mentioned distributions efficiently, within the available spectrum. This paper aims to highlight the importance of URLLC in accordance with the approaching era of technology and industry requirements. While highlighting a few implementation issues of URLLC, concerns for the Internet of things (IoT) devices that depend on the low latency and reliable communications of URLLC are also addressed. In this paper, the recent progress of 3rd Generation Partnership Project (3GPP) standardization and the implementation of URLLC are included. Finally, the research areas that are open for further investigation in URLLC implementation are highlighted, and efficient implementation of URLLC is discussed.

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Section: G and Beyondmentioning

confidence: 99%

5G Ultra-Reliable Low-Latency Communication Implementation Challenges and Operational Issues with IoT Devices

2019

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“…Moreover, SDN and NFVs are vulnerable to various types of attacks including the following: (i) DoS, hijacking, and saturation attack on SDN controller, switches, and hypervisor, (ii) network slice theft from hypervisor and shared cloud resources and SDN (virtual) switches, (iii) routers configuration attacks, (iv) SDN configuration attacks, (v) penetration attack on SDN virtual resources, (vi) TCP-level attack on SDN controllerswitch communication, and (vii) man-in-the-middle attack on the SDN controller-communication [56,58,61,69].…”

Section: Security Challengesmentioning

confidence: 99%

“…b) Artificial Intelligence, Deep Learning and Machine Learning for 5G Security Threat Intelligence: Since the UK is one of the leaders in artificial intelligence research, 5G security can leverage this strength. Various use case scenarios of AI-based security for 5G and beyond applications can be found at [69]. Blockchain and AI methods can together form a strong platform to support secure and intelligent resource management, flexible networking, and reliable orchestration in 5G and beyond scenarios such as spectrum sharing, D2D caching, V2V energy optimization, and computation off-loading [81].…”

Section: Security Challengesmentioning

confidence: 99%

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

et al. 2020

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The capacity and coverage requirements for 5G and beyond wireless connectivity will be significantly different from the predecessor networks. To meet these requirements, the anticipated deployment cost in the UK is predicted to be in between £30bn-£50bn, whereas the current annual capital expenditure (CapEX) of the mobile network operators (MNOs) is £2.5bn. This prospect has vastly impacted and has become one of the major delaying factors for building the 5G physical infrastructure, whereas other areas of 5G developments are progressing at their speeds. Due to the expensive and complicated nature of the physical network infrastructure and spectrum, the second-tier operators, widely known as mobile virtual network operators (MVNO), are entirely dependent on the MNOs. In this paper, an extensive study is conducted to explore the possibilities of reducing the 5G deployment cost and developing business models. This study suggests that the use of existing public infrastructure (e.g., streetlights, telephone poles, etc.) has a great potential to contribute to a reduction of about 40% to 60% anticipated cost for the 5G network. This paper also reviews the recent Ofcom initiatives to release location-based licenses of the 5G-compatible radio spectrum at a nominal cost. Our study suggests that simplification of infrastructure and spectrum will encourage the exponential growth of scenario-specific cellular networks and will potentially disrupt the current business models of telecommunication business stakeholders -specifically MNOs and TowerCos. These scenario-specific networks are expected to be: a) private networks, b) community networks, and c) microoperators. Furthermore, due to the feasibility of dense device connectivity with 5G, the resolution of traditional and nontraditional data availability will increase significantly. This will encourage extensive data harvesting as a business opportunity and function within small and medium-sized enterprises (SMEs) as well as within large social networks. Consequently, the rise of new infrastructures and spectrum stakeholders is anticipated. This will fuel the development of a 5G data exchange ecosystem where data transactions are deemed to be high-value business commodities. The privacy and security of such data, as well as definitions of the associated revenue models and ownership, are challenging areas -and these have yet to emerge and mature fully. In this direction, this paper proposes the development of a unified data hub with layered structured privacy and security along with blockchain and encrypted off-chain based ownership/royalty

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“…An attacker can exploit this phenomenon maliciously. An attacker can maliciously drive the NAS layer's traffic by requesting re-authentication by constantly modifying device information, or by continuously generating unnecessary authentication signals [16]. NAS signal traffic is affected by the number of devices connected to the network, which means that as the network expands, the entire network may become vulnerable.…”

Section: Threat Modeling On Authenticationmentioning

confidence: 99%

“…Many industries and academia have extensively researched 5G for more advanced wireless technologies such as innovative speed, high bandwidth, and high availability [16]. 5G must meet many requirements, and to achieve this, integration of various technologies, rather than improved existing cellular communications, must be achieved.…”

mentioning

confidence: 99%

Secure Secondary Authentication Framework for Efficient Mutual Authentication on a 5G Data Network

Gong¹,

Azzaoui²,

Cha³

et al. 2020

Applied Sciences

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The service-based architecture of the Fifth Generation(5G) had combined the services and security architectures and enhanced the authentication process of services to expand the coverage of the network, including heterogeneous devices. This architecture uses the secondary authentication for mutual authentication between the User Equipment (UE) and the Data Network (DN) to authenticate devices and services. However, this authentication mechanism can cause a signaling storm in the Non-Access Stratum (NAS) because the end node needs to communicate with the authentication server of the NAS area. This problem could affect the availability of the network when the network is extended. This research proposes a mutual authentication framework that can efficiently perform a mutual authentication process through secondary authentication between UE and DN. The proposed framework uses newly devised network functions: Secondary Authentication Function (SAF) and the Authentication Data Management Function (ADMF). This framework proposes a methodology at the protocol level for efficient mutual authentication using the mobile edge computing architecture. We analyzed the proposed framework in the point of security considerations, and we evaluated the effect of the framework on the traffic of the NAS layer and user experience. Our simulation results show that the proposed framework can reduce the NAS traffic by 39% and total traffic of the overall network by 10%.

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Security for 5G and Beyond

Cited by 291 publications

References 305 publications

5G Ultra-Reliable Low-Latency Communication Implementation Challenges and Operational Issues with IoT Devices

5G Ultra-Reliable Low-Latency Communication Implementation Challenges and Operational Issues with IoT Devices

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

Secure Secondary Authentication Framework for Efficient Mutual Authentication on a 5G Data Network

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