An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …
learning models for various cyberattack detection from the past 5 years with a major …
[PDF][PDF] 'Detection of SQL injection attacks using machine learning in cloud computing platform
JM Alkhathami, SM Alzahrani - J. Theor. Appl. Inf. Technol, 2022 - jatit.org
The cloud computing holds a massive quantity of private and secret data and information, It
uses the internet to communicate with another party so it contain a number of unreliable …
uses the internet to communicate with another party so it contain a number of unreliable …
A Deep Learning Based Natural Language Processing Approach for Detecting SQL Injection Attack
Y Natarajan, B Karthikeyan, G Wadhwa… - … on Intelligent Systems …, 2022 - Springer
A drastic increase in cyber-attacks affects internet reliability in different fields. The website
Structured Query Language (SQL) Injection is still a loophole that attackers frequently use …
Structured Query Language (SQL) Injection is still a loophole that attackers frequently use …
Translation Systems: A Synoptic Survey of Deep Learning Approaches and Techniques
K Kumar, A Faiz, K Shruti, M Chhabra… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Within artificial intelligence, deep learning is a subset that emulates the information
processing mechanism of the human brain. allowing machines to learn and make decisions …
processing mechanism of the human brain. allowing machines to learn and make decisions …
Application of blockchain technology in securing mobile applications
NM Alsaiary, S Ahmed - AIP Conference Proceedings, 2024 - pubs.aip.org
The present era is witnessing rapid development in the smartphone revolution, where
mobile users can access many required services through mobile applications. These …
mobile users can access many required services through mobile applications. These …
REVIEW OF SECURITY ATTACKS ON SOFTWARE DEFINED NETWORKING
Now a days use of software defined networking increases in industry and in different
enterprises due to its capabilities like centralized architecture, Data plan and control plan …
enterprises due to its capabilities like centralized architecture, Data plan and control plan …
Machine Learning for Detection of Distributed Denial-of-Service Attacks from Queries Executed in DBMS
DAM Chagas, GP Rocha Filho… - Anais do XXVIII …, 2023 - sol.sbc.org.br
Resumo Denial-of-Service (DoS) attacks have been extensively studied in the literature,
especially in their most dangerous form, the Distributed Denial-of-Service (DDoS) …
especially in their most dangerous form, the Distributed Denial-of-Service (DDoS) …
[PDF][PDF] Detection of SQL Injection Attack Using Machine Learning Based on Natural Language Processing
SVMB NLP - 2017 - download.garuda.kemdikbud.go.id
Based on PacketLabs, there will be a significant increase in cyberattacks in 2021, and these
attacks will occur in many countries worldwide [1]. Google records 18 million malware attack …
attacks will occur in many countries worldwide [1]. Google records 18 million malware attack …