Department of Electronic Engineering Challenges & Proposals INFSO Information Day Research Networking Test-beds 26/27 May 2005, Brussels

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Residential Services The Challenge Connection-Oriented Networks - Services long holding times few (e.g. two) parties in the call low congestion tolerance often - high QoS needs often - and large data content Connectionless Networks - Services high tolerance to congestion non-critical QoS needs low data content multi-cast or broadcast A single integrated broadband network ? unlikely to be the ideal solution for all types of services

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Residential Services Technical Challenges 1.Negotiation approaches (e.g. using intelligent agents) to match user needs & service offerings 2.Representing user (e.g. QoS) requirements 3.Representing service offerings of NO and SP 4.Cross domain accounting 5.Cross domain security – including intrusion detection 6.Self aware networks - automated fault diagnosis

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Some Work at QMUL TORRENT Cross-Domain Negotiation Self-Diagnosis and Self-Test Critical Infrastructure Protection Many IST Projects

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 TORRENT TORRENT was an EU-Supported IST project. TORRENT built a basic test-bed for multi-service residential access networks. TORRENT gave the basis for Intelligent control for customer/NO/SP: to enable home users choose, transparently, the most appropriate core transport network and physical access interfaces … in order to meet their QoS expectations for particular ranges and combinations of services.

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 residential gateway (RG) multi-service access network policy manager trader agent policy manager customer agent policy manager trader agent agent communi- cation language (ACL) local access point (LAP) LAP policy manager QoS monitor agent policy manager resource agents integrated home environment service provider or network operator service provider or network operator ACL

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Enabling Cross-domain Negotiation Management of Services & Networks Enabling Cross-domain Negotiation Negotiation Techniques – SP and NP negotiation (proactive and real time) in business to business models – e.g. SHUFFLE project on 3G networks – New negotiation protocols. Published results on quote driven market. Less dependant on strategy and efficient – so very suitable for use in autonomous entities. Extend work to negotiation protocols appropriate to SLAs Measurements to Support SLAs – Hybrid measurement techniques using combinations of passive queue monitoring and selective probing to obtain an accurate assessment of end-to-end performance. SP user NP Clearing House Regulator Dealers Clients = Traders SP Quote Driven Market: the dealer (market maker) acts as the intermediary between the buyers and sellers.

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Self-Diagnosis and Self-Test Management of Services & Networks Self-Diagnosis and Self-Test Fault Diagnosis & Prediction in the Connected Home Mechanisms for reasoning about fault conditions within home networks. Techniques for collaborative and holistic fault diagnosis and reasoning Evaluate the use of end to end agent based architectures for second generation home networks to augment OSGi structures Implement a pro-active fault analysis system as a proof of concept demonstrator within a distributed home environment GUI Monitor GUI Monitor Modeller Coordi- nator Analyser Reporter GUI Monitor GUI Networked Fault Diagnosis Node

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Systems must be are protected from attacks and accidents using approaches that are not signature based - need novel anomaly detectors geared towards invariants and features of the domain Need ways of correlating information from anomaly detectors, IDS etc. Need components where their autonomy adjusts with the context Agent-based critical infrastructure We have developed for telecom and electricity domains: – an agent architecture – new anomaly detectors and – a correlation mechanism that gives a framework to follow many lines of uncertain reasoning and the temporal evolution of attacks Further Development We want to develop further our approach in the telecommunications domain Critical Infrastructure Protection

Queen Mary University of London EU-IST Research Testbeds 26/7th May 2005 Contact Dr Eric M. Scharf Department of Electronic Eng. Queen Mary, University of London Mile End Road London E1 4NS, U.K. tel mbl fax +44/ eml