Efficient privacy-preserving data collection scheme for smart grid AMI networks

Hawzhin Mohammed, Samet Tonyali, Khaled Rabieh, Mohamed Mahmoud, Kemal Akkaya

Research output: Contribution to journalConference articlepeer-review

32 Scopus citations


In this paper, we propose an efficient scheme that utilizes symmetric-key-cryptography and hashing operations to collect consumption data. The idea is based on sending masked power consumption readings from the meters and removing these masks by adding all the meters' messages, so that the utility can learn the aggregated reading but cannot learn the individual readings. We also introduce a key management procedure that uses asymmetric key operations, but unlike the power consumption collection that is done very frequently, the key management procedure is run every long time for key renewals. Our evaluations indicate that the cryptographic operations needed in our scheme are much more efficient than the operations needed in the existing schemes. In addition, we have shown that the proposed scheme can preserve the consumers' privacy and provide high protection level against collusion attacks. Finally, ns-3 simulation results demonstrate that the network performance of the proposed scheme outperforms the performance of the existing schemes due to reducing the packet size and computational overhead.

Original languageEnglish (US)
Article number7841782
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
StatePublished - 2016
Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: Dec 4 2016Dec 8 2016

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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