A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL), has become essential in the realm of cybersecurity. These techniques have proven to be effective in detect...
Main Authors: | Merve Ozkan-Okay, Erdal Akin, Omer Aslan, Selahattin Kosunalp, Teodor Iliev, Ivaylo Stoyanov, Ivan Beloev |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10403908/ |
Similar Items
-
A Novel Feature Selection Approach to Classify Intrusion Attacks in Network Communications
by: Merve Ozkan-Okay, et al.
Published: (2023-10-01) -
An Efficient Classification of Rice Variety with Quantized Neural Networks
by: Mustafa Tasci, et al.
Published: (2023-05-01) -
Comparison of Classification Model for the Detection of Cyber-attack using Ensemble Learning Models
by: Muhammad Shoaib Akhtar, et al.
Published: (2022-02-01) -
Deep Reinforcement Learning-Driven Mitigation of Adverse Effects of Cyber-Attacks on Electric Vehicle Charging Station
by: Manoj Basnet, et al.
Published: (2023-10-01) -
Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning
by: Sathiyandrakumar Srinivasan, et al.
Published: (2023-02-01)