Dynamic Pricing-Based Resilient Strategy Design for Cloud Control System Under Jamming Attack

Yuan, Huanhuan; Xia, Yuanqing; Lin, Min; Yang, Hongjiu; Gao, Runze

doi:10.1109/tsmc.2019.2952467

Cited by 17 publications

(6 citation statements)

References 37 publications

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“…(2) Xia, Y. also collaborated with authors from cluster 2 (light blue color) in [34], (3) Xia, Y. also collaborated with Yan, C.; Li, Y. from cluster 4 (green color) in [35], [36], (4) Xia, Y. also collaborated with authors in cluster 6 (purple color) in [21], [26], [37], [38]. Lastly, it can be observed that the publication venues (metric M04) were scattered over different venues, as shown in Table 4.…”

Section: Startmentioning

confidence: 99%

“…12, No. 1, March 2023: 135-148 140 [26], [27], [31], [33], [34], [36]- [56]. Then, followed by cloud architecture with 14 articles [12], [19], [20], [23], [24], [57]- [65].…”

Section: Answering Rq2: States Of Current Researchmentioning

confidence: 99%

“…MPC control algorithm in the cloud with redundancy in local control and use of switching mechanism if no optimized solution is found in the system under distributed denial of system (DDoS) attack [31]. DoS attack in [26], [36] and advanced persistent threat in [38] as a type of Stackelberg game is proposed to design a robust control system. On the other hand, the encryption method for preventing data breaches has also been considered with the Pailier encryption [54].…”

Section: Answering Rq2: States Of Current Researchmentioning

confidence: 99%

See 2 more Smart Citations

Cloud-based control systems: a systematic literature review

Wijaya¹,

Ramadhan

Andhika³

2023

IJRES

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Control systems and computer science are two distinct and important fields of engineering. The development of cloud computing in computer science has become an enabler for the widely used controller in control systems to migrate to the cloud and has created a new field of research in cloud-based control systems (CCS). The paper used the systematic literature review approach to obtain insight into current CCS research. The objectives include a review in areas such as the demographics, topics of the research, evaluation method, and application domain. To that end, systematic literature review (SLR) has been conducted. The study obtained 64 primary studies from 581 articles. The CCS has a distinct characteristic; despite the fact that the cloud and network dynamics system, when coupled with the controlled plant, is inherently nonlinear, research efforts have used linear models with optimal control to approach it successfully in a limited case of control objectives. Furthermore, cloud-centric and cloud-fog network architecture approaches are considered in the studies—whereas, the quantitative method mainly uses simulation and discussion. Finally, the SLR summarizes open challenges for CCS in the future.

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Section: Startmentioning

confidence: 99%

“…12, No. 1, March 2023: 135-148 140 [26], [27], [31], [33], [34], [36]- [56]. Then, followed by cloud architecture with 14 articles [12], [19], [20], [23], [24], [57]- [65].…”

Section: Answering Rq2: States Of Current Researchmentioning

confidence: 99%

Section: Answering Rq2: States Of Current Researchmentioning

confidence: 99%

See 1 more Smart Citation

Cloud-based control systems: a systematic literature review

Wijaya¹,

Ramadhan

Andhika³

2023

IJRES

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“…In this work, it is assumed that the communication channel between the sensor and the remote estimator is an Additive White Gaussian Noise (AWGN) network using Quadrature Amplitude Modulation (QAM) (similar to [17]). We consider that the malicious attacker is of “jamming” type [21, 22]; that is, the attacker can launch DoS attacks to jam the communication channel between the sensor and the remote estimator to degrade the system performance. According to digital communication theory [23], the relationship between the symbol error rate (SER) and signal to noise ratio (SNR) is:

SER = Q (\sqrt{2 SNR}),

where

Q false(x false) = 1 / \sqrt{2 π} \int_{x}^{+ \infty} e^{- t^{2} / 2} d t

.…”

Section: Problem Formulationmentioning

confidence: 99%

Optimal energy allocation for remote state estimate under Denial‐of‐Service attack

Wei

2020

IET Control Theory & Appl

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This paper considers an energy‐constrained sensor power allocation problem for remote estimation under Denial‐of‐Service attack. Due to power constraints, the sensor needs to make a decision on how much power it should employ to optimise the state estimation performance under Denial‐of‐Servic attacks without using real‐time acknowledgment information. Different from the existing works concerning non‐zero power value with discrete values or one power value, the authors consider the multilevel continuous‐valued energy allocation policy containing zero power value in this work. By analysing the effects on performance index under different energy allocation policies, an optimal off‐line power scheduling policy with non‐decreasing structure is derived. To obtain the optimal power scheduling sequences, the authors formulate the problem as non‐linear programming after analysing the probability distribution of the estimation error covariance matrix. Moreover, the two power values energy allocation policy is investigated as a special case. At last, simulation examples are presented to verify the effectiveness of their theoretical results.

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“…There are several models for dynamic pricing (Yeganeh et al, 2019;Yuan et al, 2019). Each of the models focuses on a specific feature of the critical pricing elements.…”

Section: Introductionmentioning

confidence: 99%

An improved pricing approach based on combinatorial auction method in cloud environment

Javadi-Moghaddam¹,

Fard²

2022

LSJ

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Cloud pricing models are essential in the context of the increasing availability of cloud service providers across the Internet and the willingness of users to use high-quality and affordable services. The double-sided combinatorial auction model has been used extensively due to its inherent characteristics. This paper presents a cost-effective pricing method that considers both the forward market and spot market. Moreover, resource requests are workflow or hybrid to support scalability and improve the number of federal cloud response requests. The evaluation results indicate more profit for both buyers and vendors simultaneously. Furthermore, the proposed algorithm reduces the waiting time and the number of pending demands, increasing users' satisfaction relative to cloud services.

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Dynamic Pricing-Based Resilient Strategy Design for Cloud Control System Under Jamming Attack

Cited by 17 publications

References 37 publications

Cloud-based control systems: a systematic literature review

Cloud-based control systems: a systematic literature review

Optimal energy allocation for remote state estimate under Denial‐of‐Service attack

An improved pricing approach based on combinatorial auction method in cloud environment

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