Computers, Materials & Continua DOI:10.32604/cmc.2022.020648 | |

Article |

Distributed Secure Storage Scheme Based on Sharding Blockchain

1School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, 350118, China

2School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410004, China

3School of Business, Nanjing University, Nanjing, 210093, China

4School of Computer, School of Software, School of Cyberspace Security, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing, 210044, China

5Department of Biomedical Engineering, University of Reading, RG6 6AY, UK

*Corresponding Author: Xiaofeng Yu. Email: xiaofengyu@nju.edu.cn

Received: 01 June 2021; Accepted: 17 July 2021

Abstract: Distributed storage can store data in multiple devices or servers to improve data security. However, in today's explosive growth of network data, traditional distributed storage scheme is faced with some severe challenges such as insufficient performance, data tampering, and data lose. A distributed storage scheme based on blockchain has been proposed to improve security and efficiency of traditional distributed storage. Under this scheme, the following improvements have been made in this paper. This paper first analyzes the problems faced by distributed storage. Then proposed to build a new distributed storage blockchain scheme with sharding blockchain. The proposed scheme realizes the partitioning of the network and nodes by means of blockchain sharding technology, which can improve the efficiency of data verification between nodes. In addition, this paper uses polynomial commitment to construct a new verifiable secret share scheme called PolyVSS. This new scheme is one of the foundations for building our improved distributed storage blockchain scheme. Compared with the previous scheme, our new scheme does not require a trusted third party and has some new features such as homomorphic and batch opening. The security of VSS can be further improved. Experimental comparisons show that the proposed scheme significantly reduces storage and communication costs.

Keywords: Blockchain; distributed storage; verifiable secret share; polynomial commitment

Traditional centralized storage systems use centralized storage servers to store all data, which places high requirements on server performance, including reliability and security. At the same time, with the explosive growth of network data, centralized storage systems cannot satisfy the needs of large-scale applications. As a peer-to-peer storage method, distributed storage is gradually replacing traditional storage methods [1,2]. Distributed storage is to distribute data to multiple data storage servers to share the load to improve data security and storage efficiency. Nowadays, distributed storage has been widely used and favored by many companies. Common distributed storage systems, such as an efficient and scalable distributed file storage system called GFS proposed by Google.

However, distributed storage still has some problems in data security and system performance:

1) Data security. Data security is always a hot topic. When network failure or equipment abnormality occurs, data may be lost. The user may lose part or all of the data. In addition, some malicious attackers will also steal or tamper with the stored data.

2) Data management. Usually, the data is stored in different devices or servers. Different servers may have different data types, which is inconvenient for data management. In addition, because the update is not timely, the software version number may be different.

3) Performance issues. The performance of distributed storage mechanisms is equally important. Such as capacity expansion and network optimization.

The combination of blockchain and distributed storage technology in the database provides a way to solve the above problem. The distributed storage system based on the blockchain can be used to securely store all kinds of data, and can be applied to fields such as smart grid, smart home, and Internet of Vehicles. As the underlying technology of Bitcoin, blockchain has received widespread attention due to its strong security characteristics [3]. Blockchain was originally used to construct cryptocurrency. Because the blockchain has the characteristics of anti-tampering, openness and transparency, it was subsequently regarded as one of the methods to construct a secure data storage scheme [4–6]. The blockchain itself is a distributed setting, but because of the Merkle tree structure used in data storage, it needs to pay more storage costs when dealing with large-scale applications.

Secret share combined with blockchain has some applications such as electronic voting, consensus algorithms, and P2P storage scheme [7–10]. Such a scheme usually requires the participation of a Dealer, and we cannot guarantee that the Dealer is credible. This paper proposes an improved verifiable secret share scheme based on polynomial commitment without Dealer to replace the secret share scheme in distributed storage blockchain.

The specific contributions of this paper are as follows:

(1) This paper proposes a verifiable secret share scheme based on polynomial commitment (PolyVSS, for short). Compared with the previous scheme, our new scheme does not require a trusted third party and has homomorphic characteristics.

(2) Use PolyVSS to construct a distributed storage scheme based on blockchain. This scheme uses sharding technology to realize the partitioning of nodes and transactions. Experimental comparisons show that the proposed scheme can reduce storage and communication costs.

The structure of this paper is as follows. In Section 2, we introduce the related work of this paper. In Section 3, we first give the structure of a distributed storage blockchain based on PolyVSS. Section 4 introduces the proposed PolyVSS and analyzes its security. In Section 5, we analyzed the performance of the distributed storage blockchain and summarized in Section 6.Secret share is one of the important research directions of modern cryptography. The earliest secret share scheme was proposed by Shamir. In their scheme, there is a dealer who is responsible for dividing a secret into n parts and distributing them to n members. After knowing any t or more shares (

Due to the excessive trust given to the dealer, we cannot guarantee that the dealer will not have malicious behavior. To prevent the dealer from malicious behavior, verifiable secret share (VSS) is proposed [11]. Verifiable secret share is based on secret share, adding a step of share verification. To put it simply, members verify the legitimacy of the secret distributed by the dealer. An important feature of VSS is unconditional privacy. This feature prevents the shared information from being obtained by a collection of members without permission. In addition to VSS, some practical variants of VSS schemes have been proposed, such as verifiable multi-secret share [12], non-interactive verifiable secret share, and public verifiable secret share.

Harin et al. [13,14] gave the formal definition of (n, t, n) secret share. In this scheme, n share-holders participate in sharing a master secret together, and everyone can randomly select a sub-secret and use an algorithm to generate sub-shares. Then using the homomorphic feature, each shareholder can combine all the sub-shares into the master share. Finally, the master share can be restored to the master secret through the reconstruction algorithm.

The concept of commitment is at the core of almost all modern cryptographic protocol constructions. In this case, making a commitment simply means that a participant in the protocol can choose a value from a certain (limited) set and commit to his choice so that he can no longer change his mind. However, he does not have to reveal his choice (although he may choose to reveal it at some point in the future). Cryptography commitment has been applied to the blockchain. Zerocoin [15] uses Pedersen commitment to bind a series of numbers s to Zerocoin z. The commitment

where p is unknown. Given the generators g and h, the user randomly selects the random numbers s and z, and the commitment

The polynomial commitment scheme is constructed based on bilinear pairing. First, we use

1) Initialization phase:

This step mainly generates a public-private key pair

2) Commit phase:

Calculate the corresponding commitment

3) Open phase:

This step opens the committed polynomial C.

4) Verify phase:

At this phase, the verifier first needs to verify the legitimacy of the commitment:

If the equation holds, the verification passes. Otherwise, it fails. Then output a triple

Finally, verify the evaluation in the index

If the equation holds, the verification passes. Otherwise, it fails.

Suppose there is an adversary

Polynomial Binding. We say that the polynomial commitment is polynomial binding if it is satisfied:

Evaluation Binding. We say that the polynomial commitment is evaluation binding, if it is satisfied:

Computational Hiding. Assuming there is an adversary

In addition, the polynomial commitment also satisfies strong correctness, the proof of which has been given in the paper [16].

3 The Proposed Distributed Storage Scheme Based on Sharding Blockchain

3.1 System Model of Distributed Storage Scheme Based on Blockchain

Before introducing the system model of DSB, we first introduce a few related notions. Let

As we can see from the Fig. 1, the DSB scheme is to hash the entire block. Below we give the definition of DSB.

Definition 1 Distributed Storage Based on Blockchain (DSB). DSB consists of three phases.

First give a node partition:

where n represents the total number of nodes.

1) Initial phase

For

2) Encryption phase

There is an encryption algorithm denoted as

3) Storage phase

Distribute and store

3.2 The Structure of Distributed Storage Scheme Based on Blockchain

We constructed our storage scheme based on the blockchain, and introduce some of the corresponding concepts are related to the blockchain in this section [17–19]. First, we will introduce the components of the framework of our scheme:

1) Data management center (DMC): The data management center is responsible for sending data verification requests and distributing data to nodes in designated shard.

2) Node: The node is responsible for the maintenance of the ledger and the verification of the data.

3) Shard: With the help of blockchain sharding technology [20,21], the nodes in our scheme are randomly divided into a specified number of shards, and the number of nodes in each shard is the same.

4) Blockchain database: The blockchain database is used to store data that has been verified by the nodes.

5) P2P network: P2P networks have advantages in building distributed applications [22–24]. Our scheme uses a distributed P2P network without central node, and a network is randomly established between nodes.

First, the DMC sends a request to the nodes. After receiving the request, each node runs PolyVSS three-phase algorithm to distribute and store data. Fig. 2 shows the structure of a sharding-based blockchain storage system (assuming that all nodes are divided into three shards). It should be noted that the structure is the same regardless of the number of shard. Each dashed box in the figure represents a shard, and each shard has the same number of nodes. The nodes in each shard are independent of each other, do not affect each other, and can communicate with each other when necessary. This can prevent malicious nodes in different shards from colluding with each other and prevent double-spending attacks. Of course, in order to prevent all malicious nodes from being divided into the same shard, we refer to the technique of the paper [20], so that the node allocation is completely random.

The number of nodes is not as many as possible. With reference to the practical Byzantine fault-tolerant algorithm, we generally limit the number of nodes in each shard to no more than 100. When the number of nodes exceeds 100, the efficiency of reaching consensus among nodes will become low. Of course we can increase the number of shard. In our scheme, there are a total of three shards and we assume that the number of nodes in each shard is 50.

Let the total number of nodes be

3.3 The Proposed Scheme Based on Sharding Blockchain

Our scheme is based on sharding blockchain, and can process multiple data in parallel, which theoretically improves the efficiency of data verification. Our scheme is divided into three phases: request phase, secret share phase and storage phase.

1) Request phase

When a piece of data needs to be added to the chain, the Data Management Center (DMC) will send a request to all nodes in a shard.

2) Data verification phase

Each node

For each sub-secret

For

and then sends

After receiving

After the verification is passed, all nodes accept the corresponding sub-secret, and use the Lagrange interpolation to restore the corresponding sub-secret.

3) Data storage stage

After PolyVSS is executed, the verified data is uploaded to the blockchain. The specific process is shown in Fig. 3.

4 The Proposed Verifiable Secret Sharing Scheme Based on Polynomial Commitment

In this section, we will first introduce the formal definition of VSS and some cryptographic assumptions. Then, the specific construction is given. We also conduct security and performance analysis of the scheme.

First of all, we give the formal definition of VSS scheme and several security features that it needs to satisfy.

Definition 2 Verifiable secret share (VSS). A VSS scheme is divided into two phases:

Share phase: At the beginning of the phase, the Shareholder holds an input s, and the corresponding share can be calculated using s.

Reconstruction phase: With any t shares, users can use Lagrangian interpolation formulas to reconstruct the secret value.

To facilitate the description of the application later, in the following text we will use node instead of Shareholder. Usually, a VSS scheme needs to satisfy two security features: Secrecy and Correctness. Below we give their definitions.

Definition 3 Secrecy. The adversary cannot calculate the correct sharing s during the share phase.

Definition 4 Correctness. The reconstructed value should be equal to the shared secret s or every honest node will reach a result and accuse the node of maliciousness by outputting

Some VSS schemes have introduced cryptographic commitment, such as Pedersen commitment with homomorphic characteristics. Cryptographic commitment generally consists of two phases: commit and open, which are respectively to commit and open the message. Polynomial commitment is also a kind of homomorphic commitment, which can be constructed based on discrete logarithm and Pedersen commitment. The polynomial commitment algorithm is based on the two traditional commitment algorithms, combined with the characteristics of the accumulator to add a verification algorithm. The existing research points of verifiable secret share scheme based on polynomial commitments are mainly in the scheme construction of asynchronous and synchronous models [25–27].

Here are a few cryptographic assumptions used for the security proof of our scheme.

Definition 5 Discrete Logarithm Assumption (DLA). Given a group

Definition 6 Bilinear Pairing. Let

Assuming

(1) Bilinear:

(2) Non-degenerate: There exists M and N satisfy

(3) For any M and N, there exists an efficient algorithm that allows the result of

4.2 The Proposed Scheme Based on Polynomial Commitment

Our scheme is an improvement on the (n, t, n) verifiable secret sharing scheme [13]. In the (n, t, n) scheme, the first n represents n sub-shares, t represents the threshold, the knowledge of the threshold cryptography is used here, and the last n represents n participants. One advantage of such a scheme is that it does not require a trusted third party, which is not completely trusted. Scheme without a trusted third party can improve security.

On the basis of the previous scheme, polynomial commitment is introduced. Our scheme is divided into two phases: share phase and reconstruction phase. At the beginning of the scheme, the node runs the initial algorithm in the polynomial commitment, randomly selects a generator g, a random number

1) Share phase

Master secret generation algorithm: Each node

Share generation algorithm: For each sub-secret

Verification algorithm: After receiving

2) Reconstruction phase:

In the reconstruction phase, when

4.3 Analysis of the Proposed PolyVSS Scheme

First, we give the adversary model. We consider a network

Theorem 1: The proposed VSS scheme based on polynomial commitment satisfies correctness and secrecy.

Proof: We will prove that our scheme satisfies the correctness and secrecy features.

Correctness. Compared with other VSS schemes, our scheme does not have dealers. That is to say, in our scheme, we do not need to consider whether the dealer is honest. Suppose that the node uses the polynomial

Secrecy. The secrecy of our scheme comes from the hiding feature of polynomial commitment. Regardless of whether the node is malicious or honest, it is difficult for an adversary to obtain secret-related information. Suppose there is a t-bounded adversary

Suppose there is an algorithm

And send

It is easy to see that the success probability of solving the DLA instance is the same as the success probability of

4.3.2 PolyVSS Performance Analysis

This section compares the computational costs and functions of the six schemes in the four stages of parameter setting, reconstruction, verification, and recovery.

The polynomial commitment scheme given in Section 2.2 can only open and verify the evaluation of one index and is not suitable when multiple guidelines need to be opened. A batch polynomial commitment was proposed to open and verify the evaluation of multiple indexes. The batch polynomial commitment mainly modifies the verify phase. Let all the indexes

Finally, the verifier verifies the correctness of the following equation:

With the aid of batch polynomial commitment, when n indexes need to be opened, the burden of witness calculation is reduced from n to 1.

We compared the computational cost and functions of several VSS schemes [28–32]. The specific comparison is shown in Tab. 1, where n represents how many operations are done, and t can be represented as the number of nodes. The function comparison is shown in Tab. 2.

5 Performance Analysis of Our Proposed Distributed Storage Scheme

Denial of service (DoS) attack is a method used to disrupt legitimate users’ access to the target network or website resources [33–35]. Usually this is achieved by overloading a target with a large amount of traffic (usually a web server), or by sending malicious requests that cause the target resource to malfunction or completely collapse [36–41].

Blockchain will also suffer from DoS attacks. In the traditional blockchain, when a node is attacked, it needs to visit other nodes (because each node stores the entire ledger) to recover local data. In our scheme, when a node in the network is attacked, the node can use the reconstruction algorithm of the PolyVSS scheme to recover the corresponding data by accessing other

Theorem 2: The proposed distributed storage scheme can reconstruct secret by accessing any

Proof: Since

Below we analyze the cost of restoring communication. For convenience, we use DSB and LSS-DSB respectively to replace the name of the scheme in the paper [42–45]. The data of the corresponding schemes are given in Tab. 3. We use symbols

The core of our scheme is the secret sharing scheme, which is also an important tool to achieve recovery. The Shamir secret share used in DSB is one of the most classic schemes. Local secret share is based on Shamir secret share, introducing two new concepts: global secret and local secret. Among them, information as global secret is more important than a local secret. Global secrets are maintained by all users, while local secrets are maintained by individuals. Unlike their two schemes, our scheme does not have a central party, such as the dealer in the Shamir's scheme. In addition, participants in our scheme will mutually verify the legality of share, thereby improving security.

Blockchain. Due to the characteristics of traditional blockchains, each node needs to store the entire ledger. When a single point of failure occurs, it is necessary to access all other nodes to restore all transaction data. Assuming

The symbol

DSB. Nodes need to visit

LSS-DSB. The node can recover the entire data by accessing

Our scheme. In our scheme, the node also needs to access

Assuming

In this section, we will compare the storage cost of several schemes when storing a transaction. The data of the corresponding schemes are given in Tab. 3, here is a brief analysis of several schemes.

Blockchain. In traditional blockchains based on Bitcoin, nodes usually store the entire transaction ledger. The storage overhead for each node of the blockchain to store a transaction is:

LSS-DSB. Local secret share (LSS) divides secrets into one global secret and many local secrets. The most important information will be treated as global secrets. The LSS-based DSB scheme can efficiently store private keys and hash values, which can further reduce storage overhead. The storage overhead for each node of LSS-DSB to store a transaction is:

Our scheme. In our scheme, the node does not need to store additional private keys. The storage overhead of each node storing a transaction is:

Assuming

Distributed storage is one of the important directions of future storage system development and blockchain provides solutions to the security and performance problems of distributed storage. This paper first uses polynomial commitment to improve verifiable secret share and constructs a new VSS scheme. Then use the new VSS scheme to construct a distributed storage mechanism based on blockchain. Compared with the previous scheme, the scheme proposed in this paper also achieves low storage cost, and is also superior to the DSB scheme in terms of recovery communication cost. Future research directions mainly include the following points: (1) Replace transaction and network with state sharding to further optimize storage cost; (2) Realize efficient communication across partitions.

Funding Statement: This work was supported by the National Natural Science Foundation of China under Grant 62072249, 61772280, 61772454, 62072056. J. Wang and Y. Ren received the grants, and the URL of the sponsors' website is http://www.nsfc.gov.cn/. This work was also supported by the Project of Transformation and Upgrading of Industries and Information Technologies of Jiangsu Province (No. JITC-1900AX2038/01). X. Yu received the grant, and the URL of the sponsors' website is http://gxt.jiangsu.gov.cn/.

Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.

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