Abstract

Long Short-Term Memory (LSTM) Deep Learning Method for Intrusion Detection in Network Security

Highlights

  • Security of data is very important aspect of internet in recent years

  • It could probably leave in to enormous and a major impact on human lives for that to take security measures are important. These measures can be done by intrusion detection system (IDS)

  • Brian Lee et al [6] this paper presents a comparative evaluation of deep learning approaches to network intrusion detection

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Summary

INTRODUCTION

Security of data is very important aspect of internet in recent years. For illegal right to use or information from network, intruder made an intrusion in system. Intrusion Detection can be done by collecting of data packets, analyzing it and detecting any unwanted, suspicious or malicious things in traffic to inform administrator. This device is prepared for securing our data from any attack or unwanted use. A data packet travels from one to another destination This step is useful for protection of data, information and other losses due to attack. The reminder of this proposed paper is arranged as follows: Section ΙΙ covers related work with intrusion detection.

RELATED WORK
LSTM: LONG SHORT-TERM ALGORITHM
DATASET
PROPOSED SYSTEM
Preprocessing
Feature Selection
Deep learning Classification
Proposed Output
Training values
Performance Statistical Measure
EXPERIMENTAL RESULT
Findings
CONCLUSION
Full Text
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