scholarly journals Efficient and Privacy-Aware Power Injection over AMI and Smart Grid Slice in Future 5G Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yinghui Zhang ◽  
Jiangfan Zhao ◽  
Dong Zheng

Smart grid is critical to the success of next generation of power grid, which is expected to be characterized by efficiency, cleanliness, security, and privacy. In this paper, aiming to tackle the security and privacy issues of power injection, we propose an efficient and privacy-aware power injection (EPPI) scheme suitable for advanced metering infrastructure and 5G smart grid network slice. In EPPI, each power storage unit first blinds its power injection bid and then gives the blinded bid together with a signature to the local gateway. The gateway removes a partial blind factor from each blinded bid and then sends to the utility company aggregated bid and signature by using a novel aggregation technique called hash-then-addition. The utility company can get the total amount of collected power at each time slot by removing a blind factor from the aggregated bid. Throughout the EPPI system, both the gateway and the utility company cannot know individual bids and hence user privacy is preserved. In particular, EPPI allows the utility company to check the integrity and authenticity of the collected data. Finally, extensive evaluations indicate that EPPI is secure and privacy-aware and it is efficient in terms of computation and communication cost.

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 928 ◽  
Author(s):  
Mahdi Daghmehchi Firoozjaei ◽  
Ali Ghorbani ◽  
Hyoungshick Kim ◽  
JaeSeung Song

In the current centralized IoT ecosystems, all financial transactions are routed through IoT platform providers. The security and privacy issues are inevitable with an untrusted or compromised IoT platform provider. To address these issues, we propose Hy-Bridge, a hybrid blockchain-based billing and charging framework. In Hy-Bridge, the IoT platform provider plays no proxy role, and IoT users can securely and efficiently share a credit with other users. The trustful end-to-end functionality of blockchain helps us to provide accountability and reliability features in IoT transactions. Furthermore, with the blockchain-distributed consensus, we provide a credit-sharing feature for IoT users in the energy and utility market. To provide this feature, we introduce a local block framework for service management in the credit-sharing group. To preserve the IoT users’ privacy and avoid any information leakage to the main blockchain, an interconnection position, called bridge, is introduced to isolate IoT users’ peer-to-peer transactions and link the main blockchain to its subnetwork blockchain(s) in a hybrid model. To this end, a k-anonymity protection is performed on the bridge. To evaluate the performance of the introduced hybrid blockchain-based billing and charging, we simulated the energy use case scenario using Hy-Bridge. Our simulation results show that Hy-Bridge could protect user privacy with an acceptable level of information loss and CPU and memory usage.


2011 ◽  
Vol 145 ◽  
pp. 364-368 ◽  
Author(s):  
Tung Hung Chueh ◽  
Huei Ru Tseng

The smart grid is a network of computers and power infrastructures that monitor and manage energy usage and uses intelligent transmission and distribution networks to deliver electricity for improving the electric system’s reliability and efficiency. With grid controls, energy transmission management could be enhanced and resilience to control-system failures would be increased. Processing chips and storage units have been embedded into traditional electricity meters, so that they are capable of performing smart functions, called smart meters. Then, smart meters communicate with electrical appliances at home as well as the generation and management facilities at the power companies. Although deploying the smart grid has numerous social and technical benefits, several security and privacy concerns arise. Attackers might compromise smart meters, eavesdrop the communication, or hack into the power company’s database, to access power consumption data of the victim, from which they learn about the victim’s daily activities. Recently, various security and privacy vulnerabilities and threats have been studied in the research literature, however, most of the problems remain yet to be addressed. Therefore, it is crucial to design secure smart grid communication protocols that could prevent all possible security vulnerabilities. In this paper, we propose an anonymous authentication protocol for securing communication among various smart meters of the smart grid. The proposed protocol can achieve key agreement between smart meters and fully protect user privacy with low computation overhead. In addition, the analysis shows that the proposed protocol can satisfy the desirable security requirements and resist several notorious attacks.


Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4862 ◽  
Author(s):  
Tejasvi Alladi ◽  
Vinay Chamola ◽  
Joel J. P. C. Rodrigues ◽  
Sergei A. Kozlov

With the integration of Wireless Sensor Networks and the Internet of Things, the smart grid is being projected as a solution for the challenges regarding electricity supply in the future. However, security and privacy issues in the consumption and trading of electricity data pose serious challenges in the adoption of the smart grid. To address these challenges, blockchain technology is being researched for applicability in the smart grid. In this paper, important application areas of blockchain in the smart grid are discussed. One use case of each area is discussed in detail, suggesting a suitable blockchain architecture, a sample block structure and the potential blockchain technicalities employed in it. The blockchain can be used for peer-to-peer energy trading, where a credit-based payment scheme can enhance the energy trading process. Efficient data aggregation schemes based on the blockchain technology can be used to overcome the challenges related to privacy and security in the grid. Energy distribution systems can also use blockchain to remotely control energy flow to a particular area by monitoring the usage statistics of that area. Further, blockchain-based frameworks can also help in the diagnosis and maintenance of smart grid equipment. We also discuss several commercial implementations of blockchain in the smart grid. Finally, various challenges to be addressed for integrating these two technologies are discussed.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2686
Author(s):  
Aristeidis Farao ◽  
Eleni Veroni ◽  
Christoforos Ntantogian ◽  
Christos Xenakis

Due to its flexibility in terms of charging and billing, the smart grid is an enabler of many innovative energy consumption scenarios. One such example is when a landlord rents their property for a specific period to tenants. Then the electricity bill could be redirected from the landlord’s utility to the tenant’s utility. This novel scenario of the smart grid ecosystem, defined in this paper as Grid-to-Go (G2Go), promotes a green economy and can drive rent reductions. However, it also creates critical privacy issues, since utilities may be able to track the tenant’s activities. This paper presents P4G2Go, a novel privacy-preserving scheme that provides strong security and privacy assertions for roaming consumers against honest but curious entities of the smart grid. At the heart of P4G2Go lies the Idemix cryptographic protocol suite, which utilizes anonymous credentials and provides unlinkability of the consumer activities. Our scheme is complemented by the MASKER protocol, used to protect the consumption readings, and the FIDO2 protocol for strong and passwordless authentication. We have implemented the main components of P4G2Go, to quantitatively assess its performance. Finally, we reason about its security and privacy properties, proving that P4G2Go achieves to fulfill the relevant objectives.


2016 ◽  
Author(s):  
Jennifer Urban

*Abstract: *This chapter serves as an introduction to the privacy and security issues presented by advanced metering and other "smart grid" technologies, and to recent policy efforts to address them. The chapter introduces the recent political and economic push to move to the ‘smart grid’, describes the privacy issues presented by advanced metering technologies and the data they gather, and gives an overview of regulatory and policy efforts being made to address them as the smart grid develops.Smart electricity meters and other devices that gather or process household energy signatures at high temporal resolutions hold a great deal of promise. Among other predicted benefits, smart grid technologies are expected to better manage energy usage, enable real-time demand-response pricing, improve efficient load balancing across the grid, and increase the capacity for solar and other edge-based energy generation. These predicted benefits depend, in part, on new, richer data models of energy flow and usage. The temporally granular data collected by advanced metering technologies can reveal detailed information about intimate life within the home, raising serious questions about how to address privacy interests. Moreover, the present vision for the smart grid requires large numbers of new devices and gateways to connect from the ‘edge’ of the grid, raising security issues that require immediate and sustained attention. Recent and ongoing technical and policy efforts in the United States and elsewhere attempt to address these issues.Available at SSRN: http://ssrn.com/abstract=2632300


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