EFFICIENT AND PRIVACY-PRESERVING MULTI-FACTOR DEVICE AUTHENTICATION PROTOCOL FOR IOT
Author(s):
Boddupalli Anvesh Kumar, Dr.V.Bapuji
Keywords:
Abstract
With the rapid proliferation of Internet of Things (IoT) devices, ensuring secure and efficient authentication mechanisms has become paramount. This research paper proposes a novel Multi-Factor Device Authentication Protocol (MFDAP) designed to address the unique challenges posed by the IoT ecosystem. MFDAP aims to enhance both the efficiency and privacy aspects of device authentication, crucial for safeguarding sensitive information in IoT applications.The protocol employs a multi-factor authentication approach, combining something the device knows (e.g., a secret key), something the device has (e.g., a hardware token), and something the device is (e.g., biometric data). This multi-layered authentication not only fortifies the security posture but also mitigates the risks associated with compromised credentials and unauthorized access.Efficiency is a key focus of MFDAP, achieved through optimized cryptographic algorithms and streamlined communication processes. The protocol minimizes computational overhead, reducing latency and resource consumption, making it well-suited for resource-constrained IoT devices.Privacy preservation is a critical consideration in the IoT landscape, where devices often process sensitive data. MFDAP incorporates privacy-enhancing techniques, such as zero-knowledge proofs and differential privacy, to ensure that user and device information remains confidential during the authentication process. This not only complies with privacy regulations but also builds trust among users and stakeholders. The proposed protocol is evaluated through extensive simulations and real-world experiments to assess its performance, security, and scalability. The results demonstrate that MFDAP outperforms existing authentication protocols in terms of efficiency while maintaining a high level of security. Moreover, the privacy-preserving features are shown to effectively protect user data without compromising the authentication process.
Article Details
Unique Paper ID: 162068

Publication Volume & Issue: Volume 9, Issue 7

Page(s): 947 - 955
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