Nero: A Deterministic Leaderless Consensus Algorithm for DAG-Based Cryptocurrencies

Abstract

This paper presents the research undertaken with the goal of designing a consensus algorithm for cryptocurrencies with less latency than the current state-of-the-art while maintaining a level of throughput and scalability sufficient for real-world payments. The result is Nero, a new deterministic leaderless byzantine consensus algorithm in the partially synchronous model that is especially suited for Directed Acyclic Graph (DAG)-based cryptocurrencies. In fact, Nero has a communication complexity of O(n3) and terminates in two message delays in the good case (when there is synchrony). The algorithm is shown to be correct, and we also show that it can provide eventual order. Finally, some performance results are given based on a proof of concept implementation in the Rust language.

Spyware Integrated with Prediction Models for Monitoring Corporate Computers

“…In addition, it is worth noting that the features provided in some of the commercial solutions are restricted in the free version, for example, the number of computers to be monitored or architectures as described [34] or consensus algorithm [35]. The solution proposed in this work has no limitations regarding the number of computers and all its features will be freely accessible.…”

Security Monitoring during Software Development: An Industrial Case Study

“…Vulnerability prediction focuses on predicting the existence of vulnerabilities in software applications, and in fact, software components. It is based on the construction of vulnerability prediction models (VPMs), which are machine learning (ML) models that are able to predict whether a given software component may contain vulnerabilities or not [19,38,39]. Several models have been proposed over the years, utilizing various software-related attributes as input features (i.e., predictors), including software metrics [19][20][21] and text features [22][23][24][25][26][27][28][29].…”