Abstract

Resource constraints have prevented comprehensive cryptography and multifactor authentication in numerous Internet of Things (IoT) connectivity scenarios. Existing IoT systems generally adopt lightweight security protocols that lead to compromise and privacy leakage. Edge computing enables better access control and privacy protection, furthermore, blockchain architecture has achieved a trusted store of value by open-source and distributed consensus mechanisms. To embrace these new paradigms, we propose a scheme that employs one-time association multitasking proofs for peer to local authentication (OTMP-P2L). The scheme chooses relevant nondeterministic polynomial (NP) problem tasks, and manages localized trust and anonymity by using smart devices such as phones and pads, thereby enabling IoT devices to autonomously perform consensus validation with an enhanced message authentication code. This nested code is a one-time zero-knowledge proof that comprises multiple logic verification arguments. To increase diversity and reduce the workload of each one, these arguments are chained by a method that establishes some of the inputs of the following task from the output of previous tasks. We implemented a smart lock system and confirmed that the scheme outperforms IoT authentication methods. The result demonstrates superior flexibility through dynamic difficulty strategies and succinct non-interactive peer-to-peer (P2P) verification.

Highlights

  • Current Internet of Things (IoT) systems frequently encounter cyber-attacks, including distributed denial of service (DDoS) attacks, exploits, and viruses

  • Alice can provide sufficient evidence to prove to Bob the correctness of event L, where n is the length of the input and k is the known amount of quantitative knowledge of Bob

  • We made a prototype of the one-time association multitask proofs (OTMP)-P2L scheme using the smart lock scenario

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Summary

Introduction

Current IoT systems frequently encounter cyber-attacks, including distributed denial of service (DDoS) attacks, exploits, and viruses. Cyber-attacks usually target small IoT devices like shared smart cars, printers, webcams, residential gateways, medical devices, and smart grids These weak devices, whose security has been neglected, are working closely with humans and infrastructure systems, due to extensive connections, and are exposed to increasingly sophisticated cyber-attack tools. The widespread deployment of IoT devices has overwhelmed cloud computing centers. This trend drives the rise of edge computing frameworks. Breakthroughs in chip technology have significantly enhanced the functionality of smart devices With these technologies, a local, centralized security center can be created for trust and security management in the IoT

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