Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends

Secure data aggregation is an important process that enables a smart meter to perform efficiently and accurately. However, the fault tolerance and privacy of the user data are the most serious concerns in this process. While the security issues of Smart Grids are extensively studied, these two issues have been ignored so far. Therefore, in this paper, we present a comprehensive survey of fault-tolerant and differential privacy schemes for the Smart Gird. We selected papers from 2010 to 2021 and studied the schemes that are specifically related to fault tolerance and differential privacy. We divided all existing schemes based on the security properties, performance evaluation, and security attacks. We provide a comparative analysis for each scheme based on the cryptographic approach used. One of the drawbacks of existing surveys on the Smart Grid is that they have not discussed fault tolerance and differential privacy as a major area and consider them only as a part of privacy preservation schemes. On the basis of our work, we identified further research areas that can be explored

Gelişmiş Ölçüm Altyapısı İçin Güvenlik Uygulamaları

Elektrik tüketimi ölçüm araçları, manuel olarak ölçüm yapılan analog sayaçlardan, elektrik tüketimi ile ilgili bilgileri toplayan ve elektrik dağıtım firmalarına ileten yeni akıllı sayaçlara doğru evrilmektedir. Sayaç verisinin okunmasını sağlayan tek yönlü otomatik sayaç okuma sistemlerinin (AMR) çıkışıyla sayaçlar akıllı şebeke yatırımlarının önemli bir kısmını oluşturmuştur. Otomatik sayaç okuma sistemleri ilk uygulamalar için cazip olmasına rağmen, çözülmesi gereken önemli bir husus olan talep tarafı yönetiminin AMR ile sağlanamadığı fark edilmiştir. AMR teknolojisinin kabiliyetlerinin tek yönlü sayaç verisi okuma ile sınırlı olması nedeniyle, sayaçlardan toplanan veriler üzerinden düzeltici önlemler alınmasına ve tüketicinin enerjiyi daha verimli akıllı kullanmasına yönelik özeliklere izin vermemektedir. Gelişmiş Ölçüm Altyapısı (AMI) ise akıllı sayaçlar ve dağıtım şirketleri arasında çift yönlü iletişim kurarak dağıtım şirketlerine sayaçlar üzerindeki parametreleri dinamik olarak değiştirme imkanı tanır. Bu nedenle, bu çalışmada AMI güvenliği üzerine odaklanılacaktır. Akıllı sayaç sistemlerinin yaygınlaşması ile birlikte, güvenlik bu sistemlerin gerekli ve kaçınılmaz bir ihtiyacı haline gelmektedir. Diğer taraftan, AMI sadece akıllı sayaçların fiziksel olarak dağıtımı manasına gelmemekte, ayrıca sayaç verilerinin yönetimi için gerekli olan karmaşık bir iletişim ağı ve bilgi teknolojileri altyapısını da içermektedir. Dolayısıyla güvenlik çözümlerini ele alırken geniş bir perspektifle yaklaşmak gerekmektedir. Bu nedenle de, sistemin kritik varlıkları belirlenmeli, tehditler iyi analiz edilmeli ve daha sonra güvenlik gereksinimleri iyi tanımlanmış olmalıdır. Bu çalışma AMI sisteminin temel güvenlik gereksinimleri, tehditlere karşı sistem kısıtlarını düşünerek olası çözümleri üzerine, şu anki güvenlik çözümlerini de resmederek, genel bir bakış sunmaktadır. Bu çalışmada, AMI sisteminin güvenlik gereksinimleri analiz edilecek, kısıtlar belirlenecek ve olası güvenlik tehditlerine karşı olası karşı önlemler belirlenecektir. Metering utilities have been replacing from analog meters that are read manually with new, smart meters that gather information about electricity consumption and transmit it back to electric companies. The metering has been the important part of the Smart Grid investments so far, with the initial introduction of one-way automated meter reading (AMR) systems to read meter data. Even though AMR technology proved to be initially enticing, utility companies have realized that AMR does not address demand-side management which is the major issue they need to solve. Since AMR’s capability is restricted to reading meter data due to its one-way communication system, it does not let utilities take corrective action based on the information gathered from the meters and does not assist customers in using energy intelligently. Advanced Metering Infrastructure (AMI) creates a two-way communication network between smart meters and utility systems and provides utilities the ability to modify service-level parameters dynamically. Therefore in this work we will also focus on AMI security practices. While smart metering systems are become widespread security is going to be the one of its essential and inevitable needs. On the other hand, AMI does not only mean the physical deployment of smart meters, but it also includes meter data management system which is a complicated communication network and IT infrastructure. Hence a broad perspective has to be adopted when security solutions are considered. Therefore, assets of the system must be identified, threats must be well analyzed and then security requirements must be well defined. This paper presents an overview on the main security requirements of the AMI, on the threats possible solutions considering the system constraints by picturing the current security solutions. In this work, the security requirements for AMI systems will be analyzed, constraints will be determined and possible countermeasures against security threats will be given

Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids

The concept of smart metering allows real-time measurement of power demand which in turn is expected to result in more efficient energy use and better load balancing. However, finely granular measurements reported by smart meters can lead to starkly increased exposure of sensitive information, including various personal attributes and activities. Even though several security solutions have been proposed in recent years to address this issue, most of the existing solutions are based on publickey cryptographic primitives such as homomorphic encryption, elliptic curve digital signature algorithms (ECDSA), etc. which are ill-suited for the resource constrained smart meters. On the other hand, to address the computational inefficiency issue, some masking-based solutions have been proposed. However, these schemes cannot ensure some of the imperative security properties such as consumer’s privacy, sender authentication, etc. In this paper, we first propose a lightweight and privacyfriendly masking-based spatial data aggregation scheme for secure forecasting of power demand in smart grids. Our scheme only uses lightweight cryptographic primitives such as hash functions, exclusive-OR operations, etc. Subsequently, we propose a secure billing solution for smart grids. As compared to existing solutions, our scheme is simple and can ensure better privacy protection and computational efficiency, which are essential for smart grids