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EN
The study formulated and evaluated a model for effective management of ma- licious nodes in mobile Ad-hoc network based on Ad-Hoc on- demand distance vector routing protocol. A collaborative injection model called Collaborative Injection Deterrence Model (CIDM) was formulated using stochastic theory. The definition of the model was presented using graph theory. CIDM was simulated using three different scenarios. The three scenarios were then compared using packets delivery ratio (PDR), routing load, throughput and delay as performance metrics. The simulation result showed that CIDM reduce considerably the rate of packets dropped caused by malicious nodes in MANET network. CIDM did not introduce additional load to the network and, yet produce higher throughput. Lastly, the access delay in CIDM is minimal compared with convectional OADV. The study developed a model to mete out a punitive measure to rogue nodes as a form of intrusion deterrence without degrading the overall performance of the network. The well known CRAWDAD dataset was used in the simulation.
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Content available remote Byzantine Agreement & Fault Diagnosis Agreement in Dynamic Ad-Hoc Environment
EN
Since wireless communication and mobile computing are becomingmore and more ubiquitous, the reliability and fault tolerance of the Mobile Ad-hoc Network (MANET) has become an important topic. In order to provide a reliable environment, a mechanism that allows a set of nodes to reach a common agreement, even in the presence of faulty nodes, is needed. Therefore, the Byzantine Agreement (BA) problem has drawn attention of more researchers. Traditionally, the BA problem was focused on wired networks. We know that the physical topology of a wired network is static, but the physical topology of an MANET is dynamic. Thus, previous BA protocols are not applicable in an MANET. In this paper, a new protocol is proposed to solve the BA problem with malicious faulty components in dynamic MANET. Furthermore, we also propose a new Fault Diagnosis Agreement (FDA) protocol to detect/locate faulty components to provide a highly reliable environment. From the performance perspective, the proposed protocols use the minimum number of message exchanges and can tolerate/detect/locate the maximum number of faulty nodes allowed in the dynamic network.
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