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Each node can be in one of the following states: infected , immunised , or vulnerable.

Electrical & Electronic Engineering Contact: Erol Gelenbe, Georgia Sakellari E mail {e.gelenbe, g.sakellari}@imperial.ac.uk http://san.ee.ic.ac.uk/publications.shtml. Month year. Adaptive Resilience of CPN in the presence of Network Worms. Enhancements & Applications of CPN.

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Each node can be in one of the following states: infected , immunised , or vulnerable.

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  1. Electrical & Electronic Engineering Contact: Erol Gelenbe, Georgia Sakellari E mail {e.gelenbe, g.sakellari}@imperial.ac.uk http://san.ee.ic.ac.uk/publications.shtml Month year Adaptive Resilience of CPN in the presence of Network Worms Enhancements & Applications of CPN Cognitive Packet Network (CPN) Operation of CPN CPN[1] is a packet routing protocol which addresses QoS using adaptive techniques based on on-line measurements. It provides QoS driven routing and performs Self-Improvement in a distributed manner, by learning from the experience of packets. [1] E. Gelenbe, R. Lent, and A. Nunez. Self-aware networks and QoS. Proceedings of the IEEE, 92(9):1478–1489, Sep 2004 [2] E. Gelenbe. Random neural networks with negative and positive signals and product form solution. Neural Computation, 2:239–247, Feb 1990. • It makes use of 3 types of packets: • Smart packets (SP) for discovery • Dumb packets (DP) to carry the payload. • Acknowledgement (ACK) packets to bring back information. • SPs discover routes by using Random Neural Networks [2] with reinforcement learning . • Defence mechanisms against Denial of Service Attacks • Admission Control • Mobile AD-HOC CPN • Hardware implementation of CPN • Routing in Sensor Networks • Autonomic Auctions and CPN • Traffic Engineering Experimental Results on Network Reliability during a Worm Spread Our 46-node testbed at the beginning and during the spread of the worm Packet Loss and Delay with CPN and the Internet Protocol for different worm spread rates and failure durations Configuration of the experiments • Each node can be in one of the following states: infected, immunised, or vulnerable. • The node failures are propagated as a computer worm, spreading randomly around the network and trying to infect it. • The infections (failures) are spread according to two parameters: the scanning rate and the failure duration. • scanning rate: the average number of machines scanned (infection attempt) per unit time, failure duration: the time an infected node will stay under failure. After that time the node is patched (immunised).

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