A survey on ultra-dense network and emerging technologies: Security challenges and possible solutions

Chopra, Garima; Jha, Rakesh Kumar; Jain, Sanjeev

doi:10.1016/j.jnca.2017.07.007

Cited by 53 publications

(37 citation statements)

References 50 publications

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“…Furthermore, the terms "wireless backhaul" and "backhaul downlink" are all interchangeable. 3 Noticing that a detailed discussion on the clustering method is beyond the scope of this work. 4 We should pay more attention to the difference between the AP cluster and the APG in this work.…”

Section: Network Modelmentioning

confidence: 99%

Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming

Zhang¹,

Zhang²,

Zhao³

et al. 2020

Preprint

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A coupling of wireless access via non-orthogonal multiple access and wireless backhaul via beamforming is a promising way for downlink user-centric ultra-dense networks (UDNs) to improve system performance. However, ultra-dense deployment of radio access points in macrocell and user-centric view of network design in UDNs raise important concerns about resource allocation and user association, among which notably is energy efficiency (EE) balance. To overcome this challenge, we develop a framework to investigate the resource allocation problem for energy efficient user association in such a scenario. The joint optimization framework aiming at the system EE maximization is formulated as a large-scale non-convex mixed-integer nonlinear programming problem, which is NP-hard to solve directly with lower complexity. Alternatively, taking advantages of sum-of-ratios decoupling and successive convex approximation methods, we transform the original problem into a series of convex optimization subproblems. Then we solve each subproblem through Lagrangian dual decomposition, and design an iterative algorithm in a distributed way that realizes the joint optimization of power allocation, sub-channel assignment, and user association simultaneously. Simulation results demonstrate the effectiveness and practicality of our proposed framework, which achieves the rapid convergence speed and ensures a beneficial improvement of system-wide EE.<br>

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Section: Network Modelmentioning

confidence: 99%

Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming

Zhang¹,

Zhang²,

Zhao³

et al. 2020

Preprint

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“…Chopra et al [40] 2017 Ultra-dense network Discuss security issues, challenges and respective solutions for 5G ultra dense wireless networks. Ferrag et al [41] 2017 Cellular networks…”

Section: Key Contributionmentioning

confidence: 99%

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

Choudhary

Sharma

2019

5G Enabled Secure Wireless Networks

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The 5G networks have the capability to provide high compatibility for the new applications, industries, and business models. These networks can tremendously improve the quality of life by enabling various use cases that require high data-rate, low latency, and continuous connectivity for applications pertaining to eHealth, automatic vehicles, smart cities, smart grid, and the Internet of Things (IoT). However, these applications need secure servicing as well as resource policing for effective network formations. There have been a lot of studies, which emphasized the security aspects of 5G networks while focusing only on the adaptability features of these networks. However, there is a gap in the literature which particularly needs to follow recent computing paradigms as alternative mechanisms for the enhancement of security. To cover this, a detailed description of the security for the 5G networks is presented in this article along with the discussions on the evolution of osmotic and catalytic computing based security modules. The taxonomy on the basis of security requirements is presented, which also includes the comparison of the existing state-of-the-art solutions. This article also provides a security model, "CATMOSIS", which idealizes the incorporation of security features on the basis of catalytic and osmotic computing in the 5G networks. Finally, various security challenges and open issues are discussed to emphasize the works to follow in this direction of research. and vulnerabilities have been evolving continuously with the networks because of an increase in the number of users where attackers try to exploit the potential weaknesses. To easily follow these issues and aspects, an overview of 5G applications, technologies, features and performance challenges and standardization are presented in Fig.1 and Fig.2. Current 5G networks are supported by different technology enablers, which include Fig 2. An illustration of 5G evolution, standardization and known security attacks. Applications of 5G networks:The major applications of the 5G networks are provided below:1. Autonomous Vehicle: The automatic controlled driving car and vehicles are key enablers of Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and other Intelligent Transport Systems (ITS). The 5G network supports large bandwidth and low latency for these applications with high connection reliability. This network supports collision avoidance and intelligent navigation for the reliable transportation systems [6] [7]. Public Safety Communications (PSCs):The PSCs facilitated various communication services in case of emergencies when the primary communication infrastructure is not available. The PSCs incorporated rapid deployment and accessibility of communication set-up. Therefore, 5G enabled communications supports a wide range of applications and long-term connectivity for the services in case of emergencies [12]. 3. Military Applications: The Military involved mission-critical control application which requires high data rate and long-term c...

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“…A concept of design for security has introduced to cater for the increasing complexity of IoT ecosystems and to attain a secure development life cycle [9], [10], [11]. A secure IoT device life cycle requires incorporation of security measures within every component, from securing the device, the data within the device and the communication channel between edge and the cloud service [12], [13], for the entire lifespan of the device, from deployment to decommission, as shown in Figure 1.…”

Section: Secure Iot Device Life Cyclementioning

confidence: 99%

“…The trust anchor can be implemented using hardware and software approaches. Within the target device, the root-of-trust (RoT) implements the trust anchor [11], [18], [19]. The security device uses a Proof-of-Knowledge approach based on challenge-response protocol.…”

Section: Root-of-trust (Rot) In Iot Devicesmentioning

confidence: 99%

“…The trust anchor/root must be baked within the device as a unique ID to circumvent this problem. Because, it is relatively difficult for an attacker to modify the functionality of the hardware to the extent where the hardware is immutable [6], [11], [20]. Therefore, hardware root-of-trust (HRoT) has introduced, as shown in Figure 2.…”

Section: Root-of-trust (Rot) In Iot Devicesmentioning

confidence: 99%

See 1 more Smart Citation

Embedded Policing and Policy Enforcement Approach for Future Secure IoT Technologies

Siddiqui¹,

Hagan²,

Sezer³

2018

Living in the Internet of Things: Cybersecurity of the IoT - 2018

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The Internet of Things (IoT) holds great potential for productivity, quality control, supply chain efficiencies and overall business operations. However, with this broader connectivity, new vulnerabilities and attack vectors are being introduced, increasing opportunities for systems to be compromised by hackers and targeted attacks. These vulnerabilities pose severe threats to a myriad of IoT applications within areas such as manufacturing, healthcare, power and energy grids, transportation and commercial building management. While embedded OEMs offer technologies, such as hardware Trusted Platform Module (TPM), that deploy strong chain-of-trust and authentication mechanisms, still they struggle to protect against vulnerabilities introduced by vendors and end users, as well as additional threats posed by potential technical vulnerabilities and zero-day attacks. This paper proposes a pro-active policy-based approach, enforcing the principle of least privilege, through hardware Security Policy Engine (SPE) that actively monitors communication of applications and system resources on the system communication bus (ARM AMBA-AXI4). Upon detecting a policy violation, for example, a malicious application accessing protected storage, it counteracts with predefined mitigations to limit the attack. The proposed SPE approach widely complements existing embedded hardware and software security technologies, targeting the mitigation of risks imposed by unknown vulnerabilities of embedded applications and protocols.

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A survey on ultra-dense network and emerging technologies: Security challenges and possible solutions

Cited by 53 publications

References 50 publications

Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming

Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

Embedded Policing and Policy Enforcement Approach for Future Secure IoT Technologies

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