Demonstrating cognitive packet network resilience to worm attacks

The need for network stability and reliability has led to the growth of autonomic networks [2] that can provide more stable and more reliable communications via on-line measurement, learning and adaptation. A promising architecture is the Cognitive Packet Network (CPN) [5] that rapidly adapts to varying network conditions and user requirements using QoS driven reinforcement learning algorithms that drive the routing control. Contrary to conventional mechanisms, the users rather than the nodes, control the routing by specifying their desired QoS requirements (QoS Goals), such as Minimum Delay, Maximum Bandwidth, Minimum Cost, etc., and the network then routes each user's traffic individually based on their specific needs and on a"glocal"view. In CPN the user has the ability to explore the network for its own needs, and evaluate its own impact on the network as a whole and vice-versa, and then take appropriate decisions. CPN routing has been evaluated extensively under no...

• Type: Conference
• Year: 2010
• Where: CCS
• Authors: Georgia Sakellari, Erol Gelenbe
• Keywords: CCS 2010, Cognitive Packet Network, Network Stability, Routing, Security Privacy