Provide a new method to deal with distributed denial of service attacks on named data networks
Named data networks are a potential Internet architecture that is designed as a distributed network. Named data networks are very attractive for organizations that seek to share data on public networks and for which security of transmission and content is important. Therefore, this type of network can be implemented within the integrated police network if the defects and shortcomings are eliminated.Since data transfer using a data-driven network does not require an IP address, ordinary packets are not identifiable during the transfer process, and only the sender and receiver know which data needs to be retrieved. This will provide a new layer of security, such as encryption. Now, in this article, named data networks and the effect of distributed denial of service attacks on it are studied in order to find the main weakness of this network against these attacks. The proposed method changes the Nack and the link layer congestion detection protocol is added to the best known network path strategy. These changes have been made in order to use the network bandwidth more effectively and with the aim of making more use of these networks in case of congestion and denial of service attacks. The experiments performed after simulating the proposed method resulted in at least a 70% improvement in network access and a 40% improvement in network data recovery, and a 27% improvement in the need to retransmit the network in congestion compared to previous solutions.
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Design of absorber and refractive index sensor structure based on graphene metamaterials at terahertz frequencies
Mehdi Aslinezhad*, Mehdi Khajavi,
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E. Shafiee *, MohammadReza Mosavi, M. Bayat
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