A PAXOS based State Machine Replication System for Anomaly Detection
This addresses anomaly detection for systems vulnerable to attacks, but it appears incremental as it applies existing methods to a specific domain.
The paper tackles the problem of detecting system anomalies like DDoS attacks by proposing a system based on the PAXOS algorithm and Replicated State Machine approach, but it does not provide concrete results or numbers.
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.