Collaborative Access Control for IoT -- A Blockchain Approach
- URL: http://arxiv.org/abs/2405.15749v1
- Date: Fri, 24 May 2024 17:46:53 GMT
- Title: Collaborative Access Control for IoT -- A Blockchain Approach
- Authors: Yongtao Huang, I-Ling Yen, Farokh Bastani,
- Abstract summary: The Internet of Things (IoT) necessitates robust access control mechanisms to secure a vast array of interconnected devices.
We identify the problems in such solutions and adopt the blockchain based decentralized access control approach.
Our experiments demonstrate the efficacy of our system, showing that the shortcut mechanism can reduce access time by approximately 43%.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Internet of Things (IoT) necessitates robust access control mechanisms to secure a vast array of interconnected devices. Most of the existing IoT systems in practice use centralized solutions. We identify the problems in such solutions and adopt the blockchain based decentralized access control approach. Though there are works in the literature that use blockchain for access control, there are some gaps in these works. We develop a blockchain embedded access control (BEAC) framework to bridge the gaps. First, blockchain based solutions for access control require an enabling P2P network while existing P2P overlays do not support some required features. We develop a novel P2P infrastructure to seamlessly support our BEAC framework. Second, most of the works consider blockchain based access control for a single access control model, and we develop a generic blockchain mechanism and show that it can support the embedding of various access control models. Finally, existing works adopt existing blockchain mechanisms which may incur a high communication overhead. We develop a shortcut approach to improve the number of message rounds in the access protocol. Our experiments demonstrate the efficacy of our system, showing that the shortcut mechanism can reduces access time by approximately 43%.
Related papers
- BlockFound: Customized blockchain foundation model for anomaly detection [47.04595143348698]
BlockFound is a customized foundation model for anomaly blockchain transaction detection.
We introduce a series of customized designs to model the unique data structure of blockchain transactions.
BlockFound is the only method that successfully detects anomalous transactions on Solana with high accuracy.
arXiv Detail & Related papers (2024-10-05T05:11:34Z) - Automated Gateways: A Smart Contract-Powered Solution for Interoperability Across Blockchains [4.86520444802828]
This study introduces Automated Gateways as a novel framework leveraging smart contracts to facilitate interoperability.
By implementing fine-grained access control mechanisms, smart contracts within this framework manage accessibility and authorization for cross-chain interactions.
arXiv Detail & Related papers (2024-07-17T20:45:05Z) - The Latency Price of Threshold Cryptosystem in Blockchains [52.359230560289745]
We study the interplay between threshold cryptography and a class of blockchains that use Byzantine-fault tolerant (BFT) consensus protocols.
Existing approaches for threshold cryptosystems introduce a latency overhead of at least one message delay for running the threshold cryptographic protocol.
We propose a mechanism to eliminate this overhead for blockchain-native threshold cryptosystems with tight thresholds.
arXiv Detail & Related papers (2024-07-16T20:53:04Z) - Cross-Blockchain Communication Using Oracles With an Off-Chain Aggregation Mechanism Based on zk-SNARKs [0.716879432974126]
We propose an oracle with an off-chain aggregation mechanism based on ZeroKnowledge Succinct Non-interactive Arguments of Knowledge (zk-SNARKs) to facilitate cross-blockchain communication.
The proposed solution only requires constant 378 kgas to submit data on the blockchain and is primarily independent of the underlying technology of the queried blockchains.
arXiv Detail & Related papers (2024-05-14T07:48:19Z) - Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities.
Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy.
This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
arXiv Detail & Related papers (2024-03-28T07:08:26Z) - Generative AI-enabled Blockchain Networks: Fundamentals, Applications,
and Case Study [73.87110604150315]
Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology.
In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
arXiv Detail & Related papers (2024-01-28T10:46:17Z) - Deep Learning meets Blockchain for Automated and Secure Access Control [0.0]
We propose DLACB, a Deep Learning Based Access Control Using, as a solution to decentralized access control.
DLACB uses blockchain to provide transparency, traceability, and reliability in various domains such as medicine, finance, and government.
As all data is recorded on the blockchain, we have the capability to identify malicious activities.
arXiv Detail & Related papers (2023-11-10T18:50:56Z) - Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A
Reinforcement Learning Based Approach [61.74489383629319]
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management.
reinforcement-learning (RL)-assisted scheme of closed-loop access control is proposed to preserve sparsity of access requests.
Deep-RL-assisted SAUD is proposed to resolve highly complex environments with continuous and high-dimensional state and action spaces.
arXiv Detail & Related papers (2023-03-05T12:25:49Z) - A lightweight blockchain-based access control scheme for integrated edge
computing in the internet of things [4.308257382729074]
We propose an attribute-based encryption and access control scheme (ABE-ACS) for the Edge-Iot network.
For the problems of high resource consumption and difficult deployment of existing blockchain platforms, we design a lightweight blockchain (LBC)
Six smart contracts are designed to realize the ABAC and penalty mechanism, with which ABE is outsourced to edge nodes for privacy and integrity.
arXiv Detail & Related papers (2021-11-12T02:56:09Z) - Quantum-resistance in blockchain networks [46.63333997460008]
This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Quantum Computing (CQC), and Tecnologico de Monterrey to identify and eliminate quantum threats in blockchain networks.
The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms.
arXiv Detail & Related papers (2021-06-11T23:39:25Z) - Scalable Role-based Access Control Using The EOS Blockchain [0.0]
Role-based access control (RBAC) policies represent the rights of subjects in terms of roles to access resources.
This research proposes a scalable, flexible and auditable RBAC system using the EOS blockchain platform.
arXiv Detail & Related papers (2020-07-04T18:45:14Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.