Abstract Proceedings of ICIRESM – 2020
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An Efficient Intrusion Detection Scheme for Mitigating Nodes Using Data Aggregation in Delay Tolerant Network
Delay tolerant networks (DTNs) exploit the intermittent connectivity between mobile nodes to transfer data. Due to a lack of consistent connectivity, two nodes exchange data only when they move into the transmission range of nodes In DTNs, a node may misbehave by dropping packets even when it has sufficient buffers. Routing misbehavior can be caused by selfish nodes that are unwilling to spend resources such as power and buffer on forwarding packets of others, or caused by malicious nodes that drop packets to launch attacks To address the problem, we recommend a distributed scheme to detect packet dropping in DTNs. In planned TP Trust misbehavior detection scheme, is required to keep a signed contact records of its previous contacts of transfer data, disseminated to a certain number of witness nodes, carry and store which can collect appropriate contact records and detect the misbehaving nodes to resend analysis with NDD. We also planned a scheme to mitigate routing misbehavior by limiting the number of packets forwarded to the misbehaving nodes. Trace-driven simulations show MASP to transfer the data with secure group aggregators to give security to our solutions are efficient and can effectively mitigate routing misbehavior.
DTN, Network, Nodes, Clustering, Detection, Cryptography, TCP/IP.
13/11/2020
386
20386
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025