An Efficient Fractional Chebyshev Chaotic Map-Based Three-Factor Session Initiation Protocol for the Human-Centered IoT Architecture

Abstract

One of the most frequently used signaling techniques for initiating, sustaining, and dismissing sessions on the internet is a session initiation protocol (SIP). Currently, SIPs are gaining widespread applications in the human-centered Internet of Things (HC-IoT) domain. In HC-IoT environments, sensitive user data are transmitted over open communication channels that require secure authentication to protect sensitive user information from unlawful exploitation. In order to provide robust authentication for critical user data, SIP-based authentication mechanisms have been proposed; however, these authentication schemes have not provided perfect authentication and effective security for users. Additionally, the existing schemes are computationally intensive and cost-prohibitive in design and implementation. In order to address this problem, especially in the human-centered IoT context, this work introduces a provably secure, lightweight, three-factor SIP-based scheme to tackle the shortcomings of traditional schemes. The presented scheme is based on an extended fractional Chebyshev chaotic map. A formal security verification of the session key in the real-or-random (ROR) model is conducted to evaluate the projected scheme. The investigation results indicate that the new scheme is SIP compatible and achieves secure mutual authentication with robust security features compared to the existing schemes. Therefore, the proposed SIP-enabled scheme can be deployed in the human-centered Internet of Things to secure critical user information.