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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Veröffentlicht in:International journal of information technology project management Jg. 12; H. 4; S. 47 - 60
Hauptverfasser: Muthukumaran V, Joseph, Rose Bindu, Munirathanam, Meram, Jeyakumar, Balajee, Kumar, V Vinoth
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hershey IGI Global 01.10.2021
Schlagworte:
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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Abstract 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.
AbstractList 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.
Audience Academic
Author Jeyakumar, Balajee
Joseph, Rose Bindu
Muthukumaran V
Kumar, V Vinoth
Munirathanam, Meram
AuthorAffiliation REVA University, India
Department of Computer Science and Engineering, JAIN University (Deemed), Bangalore, India
Chirst Academy Institute for Advanced Studies, India
Rajiv Gandhi University of Knowledge Technologies, India
Vellore Institute of Technology, India
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SubjectTerms 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
Title Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms
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