1. Members Version 03/07 Principal Investigators Prof. David Hutchison Lancaster University dh@comp.lancs.ac.uk Prof. James P. Sterbenz The University of Kansas, Lancaster University jpgs@ittc.ku.edu, jpgs@comp.lancs.ac.uk Members at Lancaster University Chris Edwards, Laurent Mathy, Andreas Mauthe, Andrew Scott, Marcus Schöller, Paul Smith, Manolis Sifalakis, Linlin Xie Members at University of Kansas David Andrews, Weichao Wang, Alex Wyglinski, Egemen Cetenkaya, Daniel Fokum, Abdul Jabbar, Justin Rohrer, Piyush Upadhyay ResiliNets — Multilevel Resilient and Survivable Networking Initiative InfoLab21 Motivation Society increasingly relies on computer networks in general and the Internet in particular. Consumers rely on networks for access to information and services, personal finance, and for communication with others. The Internet has become indispensable to the routine operation of businesses and to the global economy. The military depends on network centric operations and warfare. Governments depend on networks for their daily operation, service delivery, and response to natural disaster and terrorist attacks. Therefore, we regard resilience and survivability as critical to the future of our network infrastructure. Resilience is the ability of the network to provide and maintain an acceptable level of service in the face of various challenges to normal operation. We aim to engineer a system to protect itself from these challenges and to recognize the impact autonomously if the defence could not isolate the effects. In this case the system services must self-organize themselves to remain accessible whenever possible and degrade gracefully when necessary. As soon as the challenge ended the system must automatically and rapidly recover from degradation to normal operation. To improve future operation of a resilient system, it has to learn from past incidents and refine its operational and defensive mechanism. http://www.comp.lancs.ac.uk/resilinets http://www.ittc.ku.edu/resilinets The ultimate goal of the ANA project is to design and develop a novel autonomic network architecture that enables flexible, dynamic, fully autonomous, and resilient formation of network nodes as well as whole networks. Postmodern TA The formation of new projects to develop and evaluate resilience strategies and mechanisms is under active discussion with our partners. Related Projects

2. ResililNets StrategyResiliNets ProjectsNetwork Resilience Understanding normal behaviour To build resilient systems it is necessary to understand how they operate under normal conditions, which can be described by their operational behaviour when free from challenges and attacks. Without this knowledge, there is little hope of knowing when a system is challenged or threatened, or if a return to normal operation has occurred as a consequence of a remediation strategy. This project investigates strategies that allow systems to safely coordinate and potentially correlate anomalous behaviour to construct a picture of the nature and existence of network attacks. Given a set of confidence thresholds and associated remediation strategies, appropriate action can be taken based upon how confident systems are about the presence and impact of an attack. Any KU project Short description …. Challenges we take into account Unusual (legimate) traffic Flash-Crowds Environmental: high-mobility of nodes and subnets weak, episodic, asymmetric connectivity unpredictably long delay paths Attacks against network hardware, software, protocol infrastructure Large-scale natural disasters Earthquakes, flooding, hurricanes Misconfiguration and operational errors Inappropriate policies Natural faults of network components Aging, over voltage Phase 1: Real-Time Control Loop – D 2 R 2 S1. Defend against challenges and threats to normal operation S2. Detect when an adverse event or condition has occurred S3. Remediate the effects of the adverse event or condition to minimise the impact S4. Recover to original and normal operations Phase 2: Background Diagnosis and Refinement – DR S5. Diagnose the fault that was the root cause S6. Refine behaviour for the future based on past D 2 R 2 cycles Mechanisms We develop and evaluate mechanisms to prevent service degradation during adverse conditions and to remediate the impact of adverse events. These mechanisms are based on fundamental principles we set up as multi-level interaction, redundancy or diversity.