A study on secure caching scheme for information-centric wireless sensor networks
Agenda
- I. Introduction
- II. Proposed Secure Caching Scheme
- II.A. Implementation of prototype testbed devices
- II.B. Lightweight consensus method for ICWSNs
- II.C. Application services to deploy the proposed ICWSN as a case study
- III. Network Technologies for ICWSNs
- IV. Wireless Communications Technologies for ICWSNs
- V. Green ICWSNs
- VI. Conclusions
- Acknowledgement
- References
I. Introduction
Wireless sensor networks (WSNs) are widely used in our daily lives. The massive amount of sensing data should be managed both efficiently and securely. In this situation, it is no longer a problem where the data is obtained from but rather what data is to be obtained. Information-centric networking (ICN) technology has been investigated as a next-generation Internet architecture. Needless to say, ICN should be introduced into WSNs to achieve a comprehensive network framework, which yields information-centric wireless sensor networks (ICWSNs). ICWSN can provide location-independent data collection and distribution mechanisms, i.e., it has a significant advantage in mobile environments. Motivated by the aforementioned background, we focus on a secure caching scheme using blockchain (BC) as the first step in the ICWSN-framework development.
In this study, the main goal is to develop a framework that enables secure caching-data management in ICWSNs. Here, it is not sufficient to simply introduce ICN into the WSNs; we should propose a scheme that is reasonable for WSNs. Recall that WSNs are an autonomous distributed environment; BC is in the same environment as WSN, as well as ICN. The study’s contribution is to resolve the issues that arise when adopting a distributed ledger based on BC for caching data management. In particular, we design the protocol stacks, conduct the compute simulations, and evaluate the scheme using the hardware-based testbed devices.
II. Proposed Secure Caching Scheme
Off-path caching schemes can increase the number of cached nodes, but they cause secured data to be scattered unnecessarily. In light of its friendliness to the ICWSN, which was designed as an autonomous distributed network, we attempted to introduce a distributed ledger based on BC. Since BC enables mutual verification without any centralized coordination, it can be constructed to be autonomous, decentralized, and scalable. The BC’s consensus algorithm can work without any trust among nodes. Here, we describe a protocol design and evaluate the scheme’s feasibility by demonstrating the experiment using prototype testbed devices, which we will introduce BC into WSNs to work with ICN in this study.
II.A. Implementation of prototype testbed devices
Figure 1 shows the structure of BC and the ICN packet format. The proposed scheme considers sensing data as a named data object (NDO), and several NDOs are encapsulated in a block. The block consists of not only a payload but also a hash value related to the previous block. To verify the submitted block, which is a candidate block to append the BC, the nodes should conduct a mining-based verification process. In the proposed scheme, the nodes are categorized into a coordinator and miners, and Fig. 2 shows their internal transition flow and message between them. On the basis of this fundamental blueprint, we implemented a prototype BC system using the C++ language[1].
The prototype BC system was transferred to the testbed device, i.e., we implemented a coordinator and three miner node devices using Raspberry Pi 3. Figure 3 shows the screenshot of demonstrating the testbed devices. As a result, we can show the feasibility of the proposed scheme based on the BC-based sensing data caching scheme. However, there are four technical issues through the experiment as follows:
- Necessity of L2 (MAC layer) protocol: As a wireless communication protocol, the ICN layer (corresponding to L3 and L4 protocols) will require to be stackable to conventional wireless sensor networks (IEEE 802.15.4) and Low-Power Wide-Area (LPWA) networks.
- Lightweight and optimized block verification process: A mining-based block-verification scheme is not suitable for WSNs in which the nodes are resource-limited, such as computational power, battery capacity, and memory storage.
- Incentives for contributed nodes in mining-based verifications: As for incentives for nodes that contribute to making consensus, the proposed scheme should consider the scheme for resource-limited wireless node devices.
- Data-distribution scheme: Although this study focuses on data collection, it is necessary to investigate a method to distribute the collected data efficiently.
Among the issues identified in the studies mentioned above, especially in 2., the mining-based block-verification methodology is not appropriate for resource-limited devices in WSN environments. Therefore, a new block verification method must be developed to adapt to WSNs, which is a critical study component.[2][3]
II.B. Lightweight consensus method for ICWSNs
For the caching method, which is essential for introducing ICN to WSN, this study aims to develop a new secure framework based on blockchain. We focus on how to deal with the caching data and how to provide incentives to the nodes that contributed to the consensus-making. Given the blueprint and fundamental evaluation of a new WSN-compliant block verification method, the detailed protocol design and feasibility were investigated.
The proposed scheme does not require exhaustive computational calculations, and it can be used without introducing an incentive mechanism for node devices [4][5]. Figure 4 shows the overview of the proposed scheme. Therefore, the proposed scheme enables block verification without any extra overhead and can omit any incentive mechanism. In FY2021, we primarily conducted evaluations based on computer simulations, focusing on evaluating the effectiveness and feasibility of the proposed scheme.
II.C. Application services to deploy the proposed ICWSN as a case study
We developed a testbed and performed a laboratory-based feasibility and fundamental evaluation for assuming practical environments. In addition, we investigated the requirements for applying the proposed scheme to practical applications, making a case study of its implementation in a smart city. As the COVID-19 pandemic became more relaxed, we collected real data (raw data) for analysis. These data would be used as sample data for fundamental analysis before the hardware experiments planned for FY2021 and beyond.
III. Network Technologies for ICWSNs
IV. Wireless Communications Technologies for ICWSNs
V. Green ICWSNs
VI. Conclusions
Acknowledgement
A part of this work was supported by JSPS KAKENHI Grant Number JP19K20261.
References
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