The Detection of SQL Injection on Blockchain-Based Database

Abstract

In today's world, the storage of data needs a huge amount of space. Meanwhile, cloud and distributed environments provide sufficient storage space for the data. One of the challenging tasks is the privacy prevention of storage data. To overcome the problem of privacy, the blockchain-based database is used to store the data. There are various attacks like denial of service attacks (DoS) and insider attacks that are performed by the adversary to compromise the security of the system. In this chapter, the authors discussed a blockchain-based database, where data are encrypted and stored. The Web API is used as an interface for the storage and sharing of data. Here, they are mainly focused on the SQL injection attack, which is performed by the adversary on Web API. To cope with this problem, they present the case study based on the Snort and Moloch for automated detection of SQL attack, network analysis, and testing of the system.