DLMHS: Flow‐based intrusion detection system using deep learning neural network and meta‐heuristic scale-Reference-Cited by-同舟云学术

DLMHS: Flow‐based intrusion detection system using deep learning neural network and meta‐heuristic scale

Published:2022-04-05 Issue:10 Volume:35 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Communication

Author:

V Jyothsna¹^ORCID,K Munivara Prasad¹^ORCID,G GopiChand²,D Durga Bhavani³^ORCID

Affiliation:

1. Sree Vidyanikethan Engineering College Tirupati India

2. School of Computer Science and Engineering Vellore Institute of technology Vellore India

3. Department of Computer Science and Engineering Institute of Aeronautical Engineering Hyderabad India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.5159

Reference33 articles.

1. Network Anomaly Detection: Methods, Systems and Tools

2. GongY MabuS ChenC WangY HirasawaK. (2009) “Intrusion detection system combining misuse detection and anomaly detection using Genetic Network Programming” ICCAS‐SICE

3. Intrusion detection and attack classifier based on three techniques, a comparative study;Adnan M;J Eng Technol,2011

4. Energy-oriented denial of service attacks: an emerging menace for large cloud infrastructures

5. Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges

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