Abstract
Smart grid utility provider collects consumers’ power consumption data for three main reasons: billing, analysis, and operation. Billing needs coarse-grained data where there are no, or minimal, privacy concerns. While analysis and operation needs fine-grained data which can highly explore consumers’ privacy. Hence, consumers might be reluctant to allow for operational metering to protect their privacy.This paper presents detail description of a reliable DNA-based privacy-preserving (DNAPP) scheme in smart grid. DNAPP assures robust authentication, confidentiality, message integrity, and nonrepudiation across the smart grid as well as assuring high consumers’ privacy. The scheme demonstrates many good security features, such as: high complexity of O(n!), light-weight, scalable, minimum overhead, no cryptography key exchange between the communicating parties as each of them can determine the key locally and independently. This scheme does not require any level of modifications to the existing smart grid infrastructure or smart meter. It only requires some software modifications.
Highlights
The legacy power grid has several limitations resulting in misuse and mismanagement of power resources and supply
We develop a new Deoxy ribo Nucleic Acid (DNA)-based privacy-preserving (DNAPP) scheme that ensure a secure data exchange between the main components of the smart grid (SG) shown in Fig. (3) (e.g., SG authority server (SGAS), smart meters (SM), and SM owner (SMO)), authentication, message integrity, non-repudiation, as well as maintain consumers’ privacy
The calculation module of the DNAPP scheme consists of three main steps: 1. Step 1: SGAS, SM, and SMO use the related SID, SN, Consumer ID (CID), KSS, and KSS. 5. SMO Secret (KOS) to locally determinethe DNA-based cryptography key(Kx) as shall be described below.SM determines two keys one to communicate with SGAS (KS), and the other to communicate with SMO (KO)
Summary
The legacy power grid has several limitations resulting in misuse and mismanagement of power resources and supply. Communicating sensitive consumers’ power consumption and control data between SM and SGAS from one side and between SM and SMO from the other side risks consumers privacy and security and must be carefully addressed. It threatens consumers’ privacy by disclosing fine-grained consumption data and consumer’s power usage behavior. As data travels through several networks, secure end-to-end communication based on strong authentication and encryption mechanisms are crucial to assure privacy-preserving, data confidentiality, and integrity of exchanged data[5, 6]. We develop a new DNA-based privacy-preserving (DNAPP) scheme that ensure a secure data exchange between the main components of the SG shown in Fig.
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