A PAXOS based State Machine Replication System for Anomaly Detection

TL;DR

This paper proposes a system utilizing the PAXOS consensus algorithm to detect system abnormalities caused by attacks like DDoS, aiming to prevent resource loss and financial damage in critical systems.

Contribution

It introduces a novel application of the PAXOS-based replicated state machine for anomaly detection in networked systems.

Findings

Effective detection of abnormal system behavior

Reduced resource wastage during attacks

Enhanced reliability in financial transaction systems

Abstract

A number of systems in recent times suffer from attacks like DDoS and Ping of Death. Such attacks result in loss of critical system resources and CPU cycles, as these compromised systems behave in an abnormal manner. The effect of such abnormalities is worse in case of compromised systems handling financial transaction, since it leads to severe monetary losses. In this paper we propose a system that uses the Replicated State Machine approach to detect abnormality in system usage. The suggested system is based on PAXOS algorithm, an algorithm for solving the consensus problem in a network of unreliable processors.