Applications of Economic and Pricing Models for Wireless Network Security: A Survey

Luong, Nguyen Cong; Hoang, Dinh Thai; Wang, Ping; Niyato, Dusit; Han, Zhu

doi:10.1109/comst.2017.2732462

Cited by 41 publications

(25 citation statements)

References 143 publications

(259 reference statements)

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“…Auction is an efficient way of allocating resources to buyers which value the resources the most. A number of auctions and their descriptions can be found in [26] and [19]. The following briefly presents the major auctions used in this survey.…”

Section: Auctionmentioning

confidence: 99%

“…They thus have computation burden to both the legitimate users and the intended networks which are undesirable for 5G low-power network infrastructures. Alternatively, economic and pricing models can provide distributed solutions which maximize the secrecy capacity for the legitimate communication links without requiring additional secure channels for key exchanges [19].…”

Section: B Security and Privacymentioning

confidence: 99%

See 1 more Smart Citation

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Luong

Wang

Niyato

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

106

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This paper presents a comprehensive literature review on applications of economic and pricing theory for resource management in the evolving fifth generation (5G) wireless networks. The 5G wireless networks are envisioned to overcome existing limitations of cellular networks in terms of data rate, capacity, latency, energy efficiency, spectrum efficiency, coverage, reliability, and cost per information transfer. To achieve the goals, the 5G systems will adopt emerging technologies such as massive Multiple-Input Multiple-Output (MIMO), mmWave communications, and dense Heterogeneous Networks (HetNets). However, 5G involves multiple entities and stakeholders that may have different objectives, e.g., high data rate, low latency, utility maximization, and revenue/profit maximization. This poses a number of challenges to resource management designs of 5G. While the traditional solutions may neither efficient nor applicable, economic and pricing models have been recently developed and adopted as useful tools to achieve the objectives. In this paper, we review economic and pricing approaches proposed to address resource management issues in the 5G wireless networks including user association, spectrum allocation, and interference and power management. Furthermore, we present applications of economic and pricing models for wireless caching and mobile data offloading. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to the 5G wireless networks.architecture and functionality needs of 5G. Horizon 2020 [2], the biggest EU Research and Innovation programme, provides funding for the 5G-Public Private Partnership (5G-PPP) to deliver solutions, architectures, technologies and standards for the ubiquitous 5G communications infrastructures.The primary technologies proposed for 5G are [3] massive Multiple-Input Multiple-Output (MIMO), dense Heterogeneous Networks (HetNets), mmWave communication, fullduplex communication, Device-to-Device (D2D) communication, energy-aware communication and energy harvesting, Cloud-Based Radio Access Networks (C-RANs), the virtualization of network resources, and so on. Compared to 4G cellular networks, 5G is expected to [3] (i) improve at least 1000 times of throughput, (ii) support higher network densification, (iii) reduce significantly latency, (iv) improve energy efficiency, and (vi) support a high density of mobile broadband users, D2D, ultra reliable, and massive Machine-Type-Communications (MTC).However, the adoption of the emerging technologies introduces challenges for the radio resource management such as user association, spectrum allocation, interference and power management. The reasons are (i) the heterogeneity and dense deployment of wireless devices, (ii) the heterogeneous radio resources, (iii) the coverage and traffic load imbalance of Base Stations (BSs), (iv) the high frequency of handovers, (v) the constraints of the fronthaul and backhaul capacities, and (vi) a large number of users and stakeholders wi...

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Section: Auctionmentioning

confidence: 99%

Section: B Security and Privacymentioning

confidence: 99%

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Luong

Wang

Niyato

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

106

View full text Add to dashboard Cite

show abstract

“…The study has constructed a lightweight protocol along with digital signature in order to identify the malicious nodes. Luong et al [25] have presented a review work to emphasize about the cost modeling practices adopted towards securing wireless network in presence of majority of the fatal attacks. Umar et al [26] have discussed about the security problems connected with using cross layer approach in sensor network.…”

Section: Related Workmentioning

confidence: 99%

Novel Framework for Maximizing Security over Wireless Network

N*,

Kumar,

Reddy

2020

IJITEE

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With the increasing adoption of application running over wireless networking system, there is also an increasing security concern in it. Review of existing security protocols in wireless networks shows that they are highly specific to adversaries and hence they cannot be applicable with the dynamic state of network vulnerabilities. Apart from this, it was also explored that public key encryption requires a drastic change in its design methodology in order to make it more resource friendly for increased network lifetime. Therefore, this manuscript presents a novel framework that develops an enhanced model of public key encryption using algebraic structure that can generate an elite secret key. The study also introduces a design of an efficient trapdoor function which renders maximum resiliency towards different forms of lethal attacks as well as adhere to maximum security standards in wireless network. The study outcome shows that proposed system out performs frequently used existing security standards in many aspects.

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“…Therefore, a mechanism is required to incentivize users to report truthfully. For the UCP, a common pricing mechanism, i.e., dual pricing [24], [38]- [42], will be studied in details.…”

Section: B the User-centric Problem (Ucp)mentioning

confidence: 99%

“…A common pricing mechanism for distributed solution finding in the literature is dual pricing [24], [38] - [42], which interprets and applies the dual variable λ in the aforementioned distributed optimization procedure as a per-unit price. Equivalently, t i = f t (x i ) = −λx i in (4).…”

Section: Mechanism and Incentive Compatibilitymentioning

confidence: 99%

Network Utility Maximization Based on an Incentive Mechanism for Truthful Reporting of Local Information

Gao

Zhao

Shen

2018

IEEE Trans. Veh. Technol.

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Classic network utility maximization problems are usually solved assuming all information is available, implying that information not locally available is always truthfully reported. This may not be practical in all scenarios, especially in distributed/semi-distributed networks. In this paper, incentive for truthful reporting in network optimizations with local information is studied. A novel general model for extending network utility maximization (NUM) problems to incorporate local information is proposed, which allows each user to choose its own objective locally and/or privately.Two specific problems, i.e., a user-centric problem (UCP) and a network-centric problem (NCP), are studied. In the UCP, a network center aims to maximize the collective benefit of all users, and truthful reporting from the users regarding their local information is necessary for finding the solution. We show that the widely-adopted dual pricing cannot guarantee truthful information reporting from a user unless the resource is over-supplied or the price is too high for this user to afford. In the NCP, the network center has its own objective and preferred solution, and incentive needs to be provided for the users to adopt the solution it prefers. Truthful reporting from users is necessary for the center to determine the incentives and achieve its solution. For two-user and multiuser cases, we propose two mechanisms to motivate truthful reporting from users while guaranteeing nonnegative utility gains for both the users and the center. A case study on underlay D2D communication illustrates the application of the UCP and NCP. Simulations are conducted for the D2D application to validate the analytical results and demonstrate the proposed mechanisms.

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Applications of Economic and Pricing Models for Wireless Network Security: A Survey

Cited by 41 publications

References 143 publications

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Novel Framework for Maximizing Security over Wireless Network

Network Utility Maximization Based on an Incentive Mechanism for Truthful Reporting of Local Information

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