Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Towards optimal noise distribution for privacy preserving in data aggregation

In aggregation applications, individual privacy is a crucial factor to determine the effectiveness, for which the noise-addition method (i.e., a random noise value is added to the true value) is a simple yet powerful approach. However, improper additive noise could result in bias for the aggregate result. It demands an optimal noise distribution to reduce the deviation. In this paper, we develo...

Trust, Security, and Privacy for the Advanced Metering Infrastructure

Energy Efficient Secure & Privacy Preserving Data Aggregation for WSNs

The aim of this research work is to enhance wireless sensor network life time via reducing communication overhead. Sensor nodes have limited resources specially energy resource which is difficult or impossible to change/replace. As communication is by far the most energy consuming aspect in WSNs, one of the main goals to save energy is therefore to reduce communication overhead. Data aggregatio...

Advanced Metering Infrastructure Performance

Efficient and Fault-Diagnosable Authentication Scheme for Advanced Metering Infrastructure

The recently emerging Advanced Metering Infrastructure (AMI) is envisioned to be one of the most prominent features of the smart grid. Security, especially authentication, is crucial for the success of large-scale AMI deployment. Unfortunately, AMI’s natural requirements — efficiency, scalability, fault-diagnoses and reliability — cannot be fully satisfied by existing authentication schemes: pe...