Towards artificial intelligence-based cybersecurity: The practices and ChatGPT generated ways to combat cybercrime

M Mijwil, M Aljanabi - Iraqi Journal For Computer Science and …, 2023 - journal.esj.edu.iq
Today, cybersecurity is considered one of the most noteworthy topics that are circulated
frequently among companies in order to protect their data from hacking operations. The …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

[PDF][PDF] Threats Detection in the Internet of Things Using Convolutional neural networks, long short-term memory, and gated recurrent units

NA Bajao, J Sarucam - Mesopotamian journal of cybersecurity, 2023 - iasj.net
Security for IoT gadgets is an undertaking that has been made more troublesome by the far-
reaching utilization of network safety in different applications, including wise modern …

Feature engineering and model optimization based classification method for network intrusion detection

Y Zhang, Z Wang - Applied Sciences, 2023 - mdpi.com
In light of the escalating ubiquity of the Internet, the proliferation of cyber-attacks, coupled
with their intricate and surreptitious nature, has significantly imperiled network security …

[PDF][PDF] SQL injection attack: Quick view

V Abdullayev, AS Chauhan - Mesopotamian Journal of CyberSecurity, 2023 - iasj.net
ABSTRACT SQL injection is a type of security vulnerability that occurs in database-driven
web applications where an attacker injects malicious code into the application to gain …

A deep learning approach for securing IoT infrastructure with emphasis on smart vertical networks

M Kolhar, SM Aldossary - Designs, 2023 - mdpi.com
As a result of the Internet of Things (IoT), smart city infrastructure has been able to advance,
enhancing efficiency and enabling remote management. Despite this, this interconnectivity …

CSK-CNN: network intrusion detection model based on two-layer convolution neural network for handling imbalanced dataset

J Song, X Wang, M He, L Jin - Information, 2023 - mdpi.com
In computer networks, Network Intrusion Detection System (NIDS) plays a very important
role in identifying intrusion behaviors. NIDS can identify abnormal behaviors by analyzing …

AI-PotatoGuard: Leveraging Generative Models for Early Detection of Potato Diseases

G Al-Kateb, MM Mijwil, M Aljanabi, M Abotaleb… - Potato Research, 2024 - Springer
This paper introduces AI-PotatoGuard, an artificial intelligence (AI) tool which enhances the
management of diseases in potatoes through the use of generative models and …

Application of GA-WELM Model Based on Stratified Cross-Validation in Intrusion Detection

C Chen, X Guo, W Zhang, Y Zhao, B Wang, B Ma… - Symmetry, 2023 - mdpi.com
Aiming at the problem of poor detection performance under the environment of imbalanced
type distribution, an intrusion detection model of genetic algorithm to optimize weighted …