Toggle Main Menu Toggle Search

Open Access padlockePrints

Against Attacks and Faults: an Autonomic Approach to Secure and Reliable Data Management

Lookup NU author(s): Dr Paul Ezhilchelvan, Professor Roy Maxion

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Exploiting the advances made so far in intrusion detection, alarm correlation and fault-tolerant computing, we present a middleware architecture for building a large-scale distributed data-management system that is self-healing and self-protective. The architecture has two related, novel aspects over the state of art. Tolerance to intrusions and faults is generally provided under the assumption that failures never exceed a pre-defined threshold and this assumption is justified based on design-stage provisions e.g., replica diversity. The autonomic system architected here strives to proactively maintain this failure threshold through intrusion detection at the node level and replicated alarm-correlation at the system level. The requirement for the latter leads to the construction of intrusion-aware signal-on-fail nodes so that the well-known (FLP) impossibility result does not hinder a timely construction of consistent snapshot of alarms raised by the nodes.


Publication metadata

Author(s): Ezhilchelvan PD, Maxion R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Workshop on Dependable Distributed Data Management, in conjunction with 23rd International Symposium on Reliable Distributed Systems

Year of Conference: 2004

Pages: 51-56

Publisher: IEEE Computer Society


Share