Detection of Network Attacks using Machine Learning and Deep Learning Models-Reference-Cited by-同舟云学术

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Detection of Network Attacks using Machine Learning and Deep Learning Models

Published:2023 Issue: Volume:218 Page:57-66
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Dhanya K.A.,Vajipayajula Sulakshan,Srinivasan Kartik,Tibrewal Anjali,Kumar T. Senthil,Kumar T. Gireesh

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. Innovative signature based intrusion detection system: Parallel processing and minimized database;Almutairi,2017

2. A decision tree classifier for intrusion detection priority tagging;Ammar;Journal of Computer and Communications,2015

3. The shellcode generation;Arce;IEEE security & privacy,2004

4. Random forest in remote sensing: A review of applications and future directions;Belgiu;ISPRS journal of photogram-metry and remote sensing,2016

5. k-nearest neighbour classifiers-a tutorial;Cunningham;ACM Computing Surveys (CSUR),2021

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1. Detection and Mitigation of DDoS Attacks : A Review of Robust and Scalable Solutions;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05

2. Network Forensics Analysis of Cyber Attacks Carried Out Over Wireless Networks Using Machine Learning Methods;Sakarya University Journal of Computer and Information Sciences;2024-08-31

3. A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services;Computer Science Review;2024-08

4. Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning;Electronics;2024-08-01

5. A Comprehensive Evaluation of Machine Learning Algorithms for Web Application Attack Detection with Knowledge Graph Integration;Mobile Networks and Applications;2024-07-19

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