Is Merkle tree the best option to organize keys?

2021 ◽  
Author(s):  
Anton Guselev ◽  
Ivan Lavrikov
Keyword(s):  
Merkle Tree

Metadata-based measurements transmission verified by a Merkle Tree

2021 ◽  
Vol 219 ◽  
pp. 106871
Author(s):  
Mario José Diván ◽  
María Laura Sánchez-Reynoso
Keyword(s):  
Merkle Tree

A Review on Bitcoin and Currency Encryption

2021 ◽  
pp. 84-98
Author(s):  
Dharmendra Singh Rajput ◽  
Pankaj Shukla ◽  
Thippa Reddy G. ◽  
Rajesh Kaluri ◽  
Kuruva Lakshmanna ◽  
...  
Keyword(s):  
Data Structure ◽  
Security Measures ◽  
Merkle Tree ◽  
Payment Methods ◽  
The Government

In today's world, security has become a major issue in our lives, and in this era, one cannot trust the government for handling their lifetime savings. That's where the bitcoin comes to our lives. In this chapter, the authors try to understand one of the famous innovative payment methods (Bitcoin), how it is used and the data structure (Merkle tree) that is used in it. Also, they discuss one of the most recent attacks that involved the use of bitcoin (Wanacry). Further, they try to understand how this hack succeeded in stealing 10,800 euros that is 8,74,290 rs from the hospital with the help of bitcoin. They also discuss the various bitcoin companies now emerging with their own security measures against such hacks.

Secure Proof of Ownership Using Merkle Tree for Deduplicated Storage

2020 ◽  
Vol 54 (4) ◽  
pp. 358-370
Author(s):  
Jay Dave ◽  
Avijit Dutta ◽  
Parvez Faruki ◽  
Vijay Laxmi ◽  
Manoj Singh Gaur
Keyword(s):  
Merkle Tree ◽  
Proof Of Ownership

Merkle Tree and Blockchain-Based Cloud Data Auditing

2020 ◽  
Vol 10 (3) ◽  
pp. 54-66
Author(s):  
Arun Prasad Mohan ◽  
Mohamed Asfak R. ◽  
Angelin Gladston
Keyword(s):  
Data Integrity ◽  
Service Provisioning ◽  
Merkle Tree ◽  
Cloud Data ◽  
Integrity Checking ◽  
Dataset Size ◽  
Data Auditing ◽  
Core Idea ◽  
Cloud Audit ◽  
Verification Techniques

Cloud computing is the fastest growing and most promising field in the service provisioning segment. It has become a challenging task to provide security in the cloud. The purpose of this article is to suggest a better and efficient integrity verification technique for data referred to as cloud audit. The deployment of cloud storage services has significant benefits in the management of data for users. However, this raises many security concerns, and one of them is data integrity. Though public verification techniques serve the purpose they are vulnerable to procrastinating auditors who may not perform verifications on time. In this article, a cloud data auditing system is proposed. The proposed cloud data auditing system integrates Merkle Tree-based Cloud audit and the blockchain-based audit recording system, thus the core idea is to record each verification result into a blockchain as a transaction. Utilizing the time-sensitive nature of blockchain, the verifications are time-stamped after the corresponding transaction is recorded into the blockchain, which enables users to check whether auditors have performed the verifications at the prescribed time. The proposed cloud data auditing system is experimentally validated. The investigations with varied dataset size revealed less time taken, on an average of 0.25 milliseconds with the use of Merkle Tree. Further results reveal consistency of the data integrity checking.

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