Secure data collection in constrained tree-based Smart Grid environments

Abstract

To facilitate more efficient control, massive amounts of sensors or measurement devices will be deployed in the Smart Grid. Data collection then becomes non-trivial. In this paper, we study the scenario where a data collector is responsible for collecting data from multiple measurement devices, but only some of them can communicate with the data collector directly. Others have to rely on other devices to relay the data. We first develop a communication protocol so that the data reported by each device is protected again honest-but-curious data collector and devices. To reduce the time to collect data from all devices within a certain security level, we formulate our approach as an integer linear programming problem. As the problem is NP-hard, obtaining the optimal solution in a large network is not very feasible. We thus develop an approximation algorithm to solve the problem. We test the performance of our algorithm using real topologies. The results show that our algorithm successfully identifies good solutions within reasonable amount of time.

Blockchain-Based Access Control and Behavior Regulation System for IoT

“…In this paper, resources and policies were manually configured by IoT device owners. In the future, we could try to let the smart gateway act as a data collector to proactively detect the device resources in the access network, automatically deploy access control policies for each new IoT device, and quickly and safely collect all data resources based on constrained trees [ 34 ], giving the system intelligence.…”

Techniques, Taxonomy, and Challenges of Privacy Protection in the Smart Grid

“…These approaches take advantage of in-network data processing (also referred to as aggregation) to apply some obfuscating operations on the transmitted data [35], [58], [73], [78], [79], [98], [101], [124], [142], and [162]. A few common examples in this category include cluster-based private data aggregation [78] and its integrity enhanced version [79], secret perturbation [58], k-indistinguishable privacy-preserving data aggregation [73], a centralized authentication server based in-network aggregation for AMI [98,162], homomorphic encryption-based aggregation [28,33,101], a secure architecture for distributed secure hierarchical data collection aggregation of additive data [141,142], a secure and scalable data collection protocol for smart meter data [87,152], multifunctional, privacy-protecting aggregation [29], and a network coding-based encryption between smart meters and aggregators [124]. Another one is reported in [110].…”