EPIC: Efficient privacy-preserving scheme with EtoE data integrity and authenticity for AMI networks

Ahmad Alsharif, Mahmoud Nabil, Samet Tonyali, Hawzhin Mohammed, Mohamed Mahmoud, Kemal Akkaya

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


In this paper, we propose EPIC, an efficient and privacy-preserving data collection scheme with EtoE data integrity verification for advanced metering infrastructure networks. Using efficient cryptographic operations, each meter should send a masked reading to the utility such that all the masks are canceled after aggregating all meters' masked readings, and thus the utility can only obtain an aggregated reading to preserve consumers' privacy. The utility can verify the aggregated reading integrity without accessing the individual readings to preserve privacy. It can also identify the attackers and compute electricity bills efficiently by using the fine-grained readings without violating privacy. Furthermore, EPIC can resist collusion attacks in which the utility colludes with a relay node to extract the meters' readings. A formal proof and probabilistic analysis are used to evaluate the security of EPIC, and ns-3 is used to implement EPIC and evaluate the network performance. In addition, we compare EPIC to existing data collection schemes in terms of overhead and security/privacy features.

Original languageEnglish (US)
Article number8542715
Pages (from-to)3309-3321
Number of pages13
JournalIEEE Internet of Things Journal
Issue number2
StatePublished - Apr 2019

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


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