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BlendCAC: A BLockchain-ENabled Decentralized Capability-based Access Control for IoTs (1804.09267v1)

Published 24 Apr 2018 in cs.NI, cs.CR, and cs.DC

Abstract: The prevalence of Internet of Things (IoTs) allows heterogeneous embedded smart devices to collaboratively provide smart services with or without human intervention. While leveraging the large scale IoT based applications like Smart Gird or Smart Cities, IoTs also incur more concerns on privacy and security. Among the top security challenges that IoTs face, access authorization is critical in resource sharing and information protection. One of the weaknesses in today's access control (AC) is the centralized authorization server, which can be the performance bottleneck or the single point of failure. In this paper, BlendCAC, a blockchain enabled decentralized capability based AC is proposed for the security of IoTs. The BlendCAC aims at an effective access control processes to devices, services and information in large scale IoT systems. Based on the blockchain network, a capability delegation mechanism is suggested for access permission propagation. A robust identity based capability token management strategy is proposed, which takes advantage of smart contract for registering, propagation and revocation of the access authorization. In the proposed BlendCAC scheme, IoT devices are their own master to control their resources instead of being supervised by a centralized authority. Implemented and tested on a Raspberry Pi device and on a local private blockchain network, our experimental results demonstrate the feasibility of the proposed BlendCAC approach to offer a decentralized, scalable, lightweight and fine grained AC solution to IoT systems.

A Decentralized Capability-based Access Control Framework for IoT Systems: Analysis and Implications

The paper "BlendCAC: A Blockchain-ENabled Decentralized Capability-based Access Control for IoTs" proposes a novel approach to access control within the Internet of Things (IoT) ecosystems. The authors address critical challenges such as scalability, heterogeneity, and decentralized management in access control (AC) systems for IoT environments. BlendCAC is introduced as a decentralized, capability-based solution leveraging blockchain technology, particularly smart contracts deployed on the Ethereum network. This ensures that individual IoT devices maintain control over their resources without reliance on a centralized authority, thus mitigating risks associated with single points of failure and reducing potential performance bottlenecks.

Key Contributions and Methodology

The authors make several key contributions through BlendCAC:

  1. Decentralized Architecture: The use of blockchain technology underpins the decentralization of the BlendCAC framework. By employing smart contracts, BlendCAC allows for distributed storage and management of AC policies across the network. This decentralization facilitates enhanced robustness and security while providing autonomy to IoT devices in managing access policies.
  2. Capability-based Model: The AC mechanism is built upon a capability-based model, encapsulated within smart contracts. The capability tokens associate specific privileges with entities, maintained in a decentralized ledger, ensuring authenticity and preventing unauthorized access. This model also includes a delegation mechanism, which is critical for flexible access management.
  3. Effective Implementation: A proof-of-concept system was implemented on a private Ethereum network to validate the feasibility of BlendCAC. The implementation involved smart contracts coded in Solidity and web service applications written in Python using the Flask framework. Performance benchmarks demonstrated that BlendCAC effectively reduces network latency compared to traditional centralized models like RBAC and ABAC, showcasing its lightweight nature.
  4. Comprehensive Experimental Evaluation: The research includes thorough experimental analysis comparing BlendCAC against RBAC and ABAC models, focusing on metrics such as execution time and computational overhead in a resource-constrained Raspberry Pi environment. Notably, BlendCAC achieves lower latency and scalable authorization capabilities, highlighting its suitability for large-scale IoT deployments.

Strong Numerical Results

The experimental studies present concrete numerical results, revealing that BlendCAC only introduces approximately 5 ms of additional network latency over an access control-free benchmark—significantly lower than comparable RBAC and ABAC implementations. Such performance efficiency underscores BlendCAC's practicality for real-world IoT applications, which often operate under constrained computational and communication conditions.

Theoretical and Practical Implications

The theoretical implications of this research involve redefining AC paradigms in IoT environments by integrating decentralized technologies like blockchain. The fine-grained access control model proposed addresses many existing vulnerabilities and inefficiencies by distributing responsibility and control across the network.

Practically, BlendCAC offers a pathway to implementing robust, scalable, and decentralized access control mechanisms in diverse IoT contexts, from smart cities to industrial automation. The use of smart contracts ensures not only authenticity but also operational flexibility essential for dynamic IoT ecosystems.

Future Developments and Potential Impact

Looking forward, the methodologies examined in this paper might inspire further refinement of decentralized security architectures, leveraging emerging technologies such as edge computing and AI for smarter access control decisions based on real-time context and data flow analysis. Continued exploration into real-world applications, such as urban surveillance systems, could crystallize BlendCAC's utility and applicability.

In conclusion, the BlendCAC framework represents a significant advancement in IoT access control, primarily through its innovative use of blockchain technology to address pressing challenges in scalability, decentralization, and efficiency. As IoT devices continue to proliferate, such decentralized approaches will likely become foundational in securing complex and heterogeneous networks.

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Authors (4)
  1. Ronghua Xu (21 papers)
  2. Yu Chen (506 papers)
  3. Erik Blasch (46 papers)
  4. Genshe Chen (13 papers)
Citations (162)