Secure Key Distribution for the Smart Grid

Xia, Jinyue; Wang, Yongge

doi:10.1109/tsg.2012.2199141

Cited by 203 publications

(152 citation statements)

References 8 publications

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“…As seen from the FOSG system, the eigenvalues should remain in the unstable region and the necessary condition for the FOSG system to be stable is > (2/ )tan −1 (|Im |/Re ). As we know, the eigenvalues of the system are 1,2 = −15.46±15.98 , 3 = −3.85, 4 = 2.38 and it is clearly seen that 4 is an unstable focus and hence 4 contributes to the existence of chaotic oscillations in FOSG system. = 0.72, whose argument is zero, which is the minimum argument, and hence the stability necessary condition becomes /200 − 0 > 0 which solves for 0.01571 > 0.…”

Section: Stability Analysis Of Fosg Systemmentioning

confidence: 82%

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Chaos Control in Fractional Order Smart Grid with Adaptive Sliding Mode Control and Genetically Optimized PID Control and Its FPGA Implementation

Karthikeyan

Rajagopal

2017

Complexity

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We investigate a specific smart grid system and its nonlinear properties. Lyapunov exponents are derived to prove the existence of chaos and bifurcation and bicoherence contours are investigated to show the parameter dependence and existence of quadratic nonlinearities, respectively. A fractional order model of the smart grid system (FOSG) is then derived and bifurcation of the FOSG system with variation in the commensurate fractional order of the system is investigated to show that largest Lyapunov exponent of the system exists in fractional order. Hence we proposed two different control methods to suppress the chaotic oscillations. In the first method we derive fractional order adaptive sliding mode control (FOASMC) algorithm to control chaotic oscillations and in the second method we used genetically optimized fractional order PID controllers (GAFOPID) for chaos control. Numerical simulations are conducted to show the effectiveness of the controllers and also to prove that GAFOPID controllers are more effective than FOASMC controllers for fractional order systems. The GAFOPID controllers are then realized in FPGA to show that the proposed methodology is hardware realizable.

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Section: Stability Analysis Of Fosg Systemmentioning

confidence: 82%

“…Smart grids and its technologies modernize our electric grids ensure safe, secure, cost effective, and reliable power transmission [3,4]. Nonlinear phenomenon in power systems such as voltage collapse and oscillatory phenomenon can be analyzed using chaos theory [5].…”

Section: Introductionmentioning

confidence: 99%

Chaos Control in Fractional Order Smart Grid with Adaptive Sliding Mode Control and Genetically Optimized PID Control and Its FPGA Implementation

Karthikeyan

Rajagopal

2017

Complexity

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“…Their scheme provided a variety of security functionalities, and reduced computational costs for both the smart meter and service provider. Xia and Wang proposed a key distribution scheme for smart grid network [6]. They used a trusted third party which can conduct key revocation, and the third party can be easily duplicated in case power outages occur.…”

Section: Related Workmentioning

confidence: 99%

An Anonymous Authentication and Key Establish Scheme for Smart Grid: FAuth

et al. 2017

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Abstract:The smart meters in electricity grids enable fine-grained consumption monitoring. Thus, suppliers could adjust their tariffs. However, as smart meters are deployed within the smart grid field, authentication and key establishment between smart grid parties (smart meters, aggregators, and servers) become an urgency. Besides, as privacy is becoming a big concern for smart meters, smart grid parties are reluctant to leak their real identities during the authentication phase. In this paper, we analyze the recent authentication schemes in smart grids and other applied fields, and propose an anonymous authentication and key establishment scheme between smart grid parties: FAuth. The proposed scheme is based on bilinear maps and the computational Diffie-Hellman problem. We changed the way the smart meter parties registered at Key Generation Center, making the proposed scheme robust against various potential attacks that could be launched by the Key Generation Center, as the scheme could avoid the private key of the smart meter parties from leaking to the Key Generation Center. Besides, the proposed scheme reduced the computational load, both at the smart meter side and at the aggregator side, which make it perfectly suitable for computation-constrained devices. Security proof results show the proposed scheme is secure under the BAN logic and random oracle model.

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“…In [24], a novel key management scheme for Smart Grids is proposed, combining public and symmetric key cryptography; the used techniques are elliptic curve and the Needham-Schroeder authentication protocol. The authors of [25], however, prove that it is susceptible to man-in-the-middle attacks and propose their own scheme. The latter is a symmetric key distribution scheme utilising an online TTP with precomputed responses, which can be operated as an LDAP server and replicated with low cost.…”

Section: Related Workmentioning

confidence: 99%

Self-organised Key Management for the Smart Grid

Demertzis

Καρόπουλος

Xenakis

et al. 2015

Ad-Hoc, Mobile, and Wireless Networks

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Abstract. As Smart Grid deployments emerge around the world, their protection against cyberattacks becomes more crucial. Before protective measures are put into place, one of the main factors to be considered is key management. Smart Grid poses special requirements compared to traditional networks; however, the review of previous work reveals that existing schemes are not complete. Here we propose a scalable and distributed key management scheme for the Smart Grid based on the Web-of-Trust concept. Our proposal is build on top of a Distributed Hash Table for efficient lookups of trust relationships. The target of this scheme is to create a key management system for the Smart Grid without the need of an always available Trusted Third Party. The underlying Distributed Hash Table can be further utilised as an infrastructure to build other Smart Grid services on top of it, like secure and/or anonymous aggregation, billing, etc.

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Secure Key Distribution for the Smart Grid

Cited by 203 publications

References 8 publications

Chaos Control in Fractional Order Smart Grid with Adaptive Sliding Mode Control and Genetically Optimized PID Control and Its FPGA Implementation

Chaos Control in Fractional Order Smart Grid with Adaptive Sliding Mode Control and Genetically Optimized PID Control and Its FPGA Implementation

An Anonymous Authentication and Key Establish Scheme for Smart Grid: FAuth

Self-organised Key Management for the Smart Grid

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