The goal of this paper is to develop a WAF system based on ModSecurity with ModSecurity CRS, which focuses on reducing the false-positive rate of ModSecurity CRS based on machine learning methods.

In this paper, we classify attack vectors of Ethereum smart contracts, then propose some behaviour-based methods to detect them.

We present a protocol which can be implemented on a blockchain that ensures unpredictable, tamper-resistant, scalable and publicly-verifiable outcomes.

We demonstrate a system of random number generation service for generating fair, tamper-resistant, and verifiable random numbers.

In this paper, we design and implement a mechanism for secure storing and exchanging open data leveraging Hyperledger Fabric and IPFS (InterPlanetary File System).