Novel hybrid chaotic map-based secure data transmission between smart meter and HAN devices

ABSTRACT

Home area network (HAN) devices send the electricity consumption and other important data to the smart meter that must remain confidential from other devices. This paper proposes a novel one-dimensional hybrid chaotic map. The proposed map shows excellent chaotic properties when analyzed by bifurcation diagram, Lyapunov exponent & Shannon entropy. We further design an encryption strategy for data transfers between the smart meter and HAN devices. The proposed encryption scheme uses the existing lightweight key management in advanced metering infrastructure (LKM-AMI) architecture for data transfers, in which the encrypted data is transferred through an insecure channel and private keys are provided by trusted third party (TTP) through secure channels. The 2-way communication between HAN devices and the smart meter sends messages that are encrypted by using the proposed novel hybrid one-dimensional chaotic map. The encryption strategy mainly consists of three steps. In the first step, the seed and the control parameters are initialized. The second phase generates two intermediate keys using the proposed hybrid chaotic map. In the last phase, we encrypt the message by applying permutation followed by diffusion using intermediate keys. The proposed encryption strategy is resistant to various attacks.

Graphical abstract

KEYWORDS:

• Smart grid
• smart meter
• home area network
• chaos theory
• AMI
• advanced metering infrastructure

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

On behalf of all authors, I, Lokesh Goel, declare that this article does not involve any generated or analyzed datasets. Data sharing does not apply to this study.

Compliance with ethical standards

On behalf of all authors, I, Lokesh Goel, hereby declare that:

• No external funding was obtained for this study.

• The authors and the submitted manuscript have no conflicts of interest to declare.

• This article does not include any studies involving human participants or animals that were performed by any of the authors.