Multi-Layered Blockchain Governance Game

The research designs a new integrated system for the security enhancement of a decentralized network by preventing damages from attackers, particularly for the 51 percent attack. The concept of multiple layered design based on Blockchain Governance Games frameworks could handle multiple number of networks analytically. The Multi-Layered Blockchain Governance Game is an innovative analytical model to find the best strategies for executing a safety operation to protect whole multiple layered network systems from attackers. This research fully analyzes a complex network with the compact mathematical forms and theoretically tractable results for predicting the moment of a safety operation execution are fully obtained. Additionally, simulation results are demonstrated to obtain the optimal values of configuring parameters of a blockchain-based security network. The Matlab codes for the simulations are publicly available to help those whom are constructing an enhanced decentralized security network architecture through this proposed integrated theoretical framework.

Sztuczna inteligencja – wybór orzecznictwa

This article represents an overview of the jurisprudence case review of issues relatively connected with artificial intelligence technology. The collection of judgments chosen for the purposes of study which include concerns related to issues associated with forthcoming technological world. For example, the functionality of bot software automate human interaction easy with various online activities, the use of AI to analyse the car cost repairing according to model. AI used in forensic medical radiology, figure print scanning, security enhancement using facial biometrics recognition. AI in automate graphics and game design application. Also AI use to filter social networks to identify inciting terrorism. The main purpose of the study is to identify and assess the need of regulate artificial intelligence technology according to standardize policy, as well as to assess the level of threats associated with privacy of data analysis functions of the AI technology in the context of the presented jurisprudence.