Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms

Defending all single connection failures for a particular system, segment routing issue, the switch will focus on the problems of selecting a small subset of trust-aware routing to improve the deep learning (DL). In the end, even if there were multiple path failures, these paths may introduce long-t...

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Vydáno v:International journal of information technology project management Ročník 12; číslo 4; s. 47 - 60
Hlavní autoři: Muthukumaran V, Joseph, Rose Bindu, Munirathanam, Meram, Jeyakumar, Balajee, Kumar, V Vinoth
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hershey IGI Global 01.10.2021
Témata:
Access control
Algorithms
Fault detection
Information technology
Internet service providers
Network security
Project management
Protocol
Queueing
Queuing
Routing (telecommunications)
Safety and security measures
Segments
Software
Software-defined networking
Traffic congestion
Traffic delay
Trustworthiness
Virtual private networks
India
ISSN:1938-0232, 1938-0240
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Shrnutí:Defending all single connection failures for a particular system, segment routing issue, the switch will focus on the problems of selecting a small subset of trust-aware routing to improve the deep learning (DL). In the end, even if there were multiple path failures, these paths may introduce long-term, unnecessary overload in the proposed long short-term memory networks-based queuing routing segmentation (LSTM-QRS) experience of reducing traffic delays and adjusting traffic length by reducing network bandwidth. The critical factor is a novel traffic repair technique used to create a traffic repair path that switches to software-defined network (SDN) using multiple routing and providing additional flexibility in re-routing using long short-term memory networks (LSTM)-based queuing routing segment (LSTM-QRS) algorithms. It reduces the repair path length and recommends replacing the target-based traffic with the connection-based traffic fault detection router to avoid targeted traffic network congestion.
Bibliografie:ObjectType-Article-1
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ISSN:1938-0232
1938-0240
DOI:10.4018/IJITPM.2021100105