Bayesian Mechanisms and Detection Methods for Wireless Network with Malicious Users

Chorppath, Anil Kumar; Alpcan, Tansu; Boche, Holger

doi:10.1109/tmc.2015.2505724

Cited by 32 publications

(13 citation statements)

References 29 publications

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“…The users are demotivated to harm or attack other users because of the high cost. As shown in the simulation results in [5], the additional cost for a malicious user significantly decreases when the degree of maliciousness of the user decreases. The example discussed above shows that the DDoS attack can be simply addressed by pricing without requiring additional hardware and software.…”

Section: A What and Why Economic And Pricing Approachesmentioning

confidence: 74%

“…Therefore, setting high resource prices to the compromised users discourages them to spend more powers to perform the attack actions. The Bayesianoptimal pricing model [5] can be adopted to easily achieve the purpose. Specifically, using the pricing model, the resource price for each user is proportional to the probability that the user performs a malicious action.…”

Section: A What and Why Economic And Pricing Approachesmentioning

confidence: 99%

“…In other words, the users' utilities are assumed to be known at the base station. Thus the centralized auction mechanisms can be adopted in which the base station makes centralized decisions on both the power level and price for all users as proposed in [5].…”

Section: B Distributed Dos (Ddos) Attackmentioning

confidence: 99%

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

Luong

Hoang

Wang

et al. 2017

IEEE Commun. Surv. Tutorials

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Abstract-This paper provides a comprehensive literature review on applications of economic and pricing theory to security issues in wireless networks. Unlike wireline networks, the broadcast nature and the highly dynamic change of network environments pose a number of nontrivial challenges to security design in wireless networks. While the security issues have not been completely solved by traditional or system-based solutions, economic and pricing models recently were employed as one efficient solution to discourage attackers and prevent attacks to be performed. In this paper, we review economic and pricing approaches proposed to address major security issues in wireless networks including eavesdropping attack, Denial-of-Service (DoS) attack such as jamming and Distributed DoS (DDoS), and illegitimate behaviors of malicious users. Additionally, we discuss integrating economic and pricing models with cryptography methods to reduce information privacy leakage as well as to guarantee the confidentiality and integrity of information in wireless networks. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to wireless security issues.

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Section: A What and Why Economic And Pricing Approachesmentioning

confidence: 74%

Section: A What and Why Economic And Pricing Approachesmentioning

confidence: 99%

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

Luong

Hoang

Wang

et al. 2017

IEEE Commun. Surv. Tutorials

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“…If the bots are rational, setting high resource prices discourages them to spend more power to perform the attack actions. Behavior-based pricing models such as Bayesian optimal pricing [160] can be adopted to easily achieve this goal.…”

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

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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“…Considering the fluctuation of wireless network environment, which results in poor communication performance, is vital in the design of WNCSs. 1,2 Additionally, utilizing the inherent nature of "openness" of WNCSs, malicious attackers can destroy communication communities and control systems. 3 Thus, a number of literature focusing on the security of WNCSs has been found in other works [4][5][6][7] and the references therein.…”

Section: Introductionmentioning

confidence: 99%

Resilient control for wireless networked control systems under DoS attack via a hierarchical game

Yuan

Xia

Yang

et al. 2018

Intl J Robust & Nonlinear

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In this paper, the resilient control problem is investigated for a wireless networked control system (WNCS) under denial-of-service (DoS) attack via a hierarchical game approach. In the presence of a wireless network, a DoS attacker leads to extra packet dropout in the cyber layer of WNCS by launching interference power. A zero-sum Markov game is exploited to model the interaction between the transmitter and the DoS attacker under dynamic network environment. Additionally, with the attack-induced packet loss, an H ∞ minimax controller is designed in the physical layer by using a delta operator approach.Both value iteration and Q-learning methods are used to solve the hierarchical game problem for the WNCS. The proposed method is applied to a load frequency control system to illustrate the effectiveness. KEYWORDS denial-of-service attack, game theory, H ∞ minimax control, resilient control, wireless networked control system 4604

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Bayesian Mechanisms and Detection Methods for Wireless Network with Malicious Users

Cited by 32 publications

References 29 publications

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

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

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

Resilient control for wireless networked control systems under DoS attack via a hierarchical game

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