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Secure multiparty access and authentication based on advanced fuzzy extractor in smart home

  • Application of soft computing
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Abstract

Smart home (SH) technology is a new IoT application that allows users to remotely control household appliances. It provides several facilities like light control, smart locks, smoke detection, temperature monitoring, etc. Smart home domain needs an anonymous and efficient authentication scheme to ensure secure multiparty communications because of the insecure communication channel. Several authentication schemes were developed but it does not require multiparty authentication and are not secure in multiparty access. Thus, we propose a secure multiparty access and authentication based on advanced fuzzy extractor (SMAA_AFE) system that allows only the valid user to access the devices in SH. The proposed method consists of four phases such as sensor node (SN) registration phase, smart user (SU) registration phase, smart user authentication phase, password, and biometric update phase. All SUs and the SNs of the SH are registered and during the authentication phase, the user will be authenticated using the SMAA_AFE protocol. Here, the biometric data of the user is needed for authentication. When the user imprints his fingerprint, a valid biometric key will be generated only if a fixed number of members authenticate the user. The generated key is robust because we use SHA-256 hashing function. We use KNN to calculate the distance between the registered biometric data and the data given during authentication because it predicts more accurately. SMAA_AFE protocol improves security from various attacks. The security features of the proposed method are analyzed and its performance is compared to other authentication protocols focusing on communication and computation costs. The results demonstrate that the proposed method outperforms other protocols in terms of communication cost, requiring only 1188 bits, and computation cost, with an execution time of 6.20 ms.

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Data availability

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Sirisha Uppuluri, G. Lakshmeeswari. The first draft of the manuscript was written by Sirisha Uppuluri and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Conceptualization: Sirisha Uppuluri; Methodology: Sirisha Uppuluri, G. Lakshmeeswari; Formal analysis and investigation: Sirisha Uppuluri; Writing - original draft preparation: Sirisha Uppuluri, G. Lakshmeeswari; Writing - review and editing: Sirisha Uppuluri; Supervision: G. Lakshmeeswari.

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  1. GITAM University, Visakhapatnam, Andhra Pradesh, 530045, India

    Sirisha Uppuluri & G. Lakshmeeswari

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  1. Sirisha Uppuluri
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  2. G. Lakshmeeswari
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All the authors have participated in writing the manuscript and have revised the final version. All authors read and approved the final manuscript.

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Correspondence to Sirisha Uppuluri.

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Uppuluri, S., Lakshmeeswari, G. Secure multiparty access and authentication based on advanced fuzzy extractor in smart home. Soft Comput 28, 4899–4914 (2024). https://doi.org/10.1007/s00500-023-09182-w

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