An Effective Method for Reliable Data Delivery in Highly Dynamic Mobile Ad Hoc Networks
K. Vinodh Kumar, S. Padmapriya · 2016
2 Abstract: To prevent vulnerable virtual machines from being compromised in the cloud, a multi-phase distributed vulnerability detection, measurement and countermeasure selection mechanism called NICE is been proposed, which is built on attack graph-based analytical models and reconfigurable virtual network-based countermeasures. The proposed framework leverages Open flow network programming APIs to build a monitor and control plane over distributed programmable virtual switches to significantly improve attack detection and mitigate attack consequences. The greatest advantage of using the DSR over the AODV based protocols is that we do not have to use the beacon transmission, i.e. the periodic hello packet. In the previous research techniques the dynamic anomaly based detection schemes for the AODV based protocols have been studied and presented. Anomaly detection can be done in DSR based MANETs by sampling a section of the path and comparison with the general activity of the network determined by a baseline. This is achieved by first classifying the possible attacks in DSR. A training database is maintained and compared with a sample at any random area of the network. Using weighted co-efficient, it is possible to detect any anomaly behavior inside the network.