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 …

Malware analysis and detection using machine learning algorithms

MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
One of the most significant issues facing internet users nowadays is malware. Polymorphic
malware is a new type of malicious software that is more adaptable than previous …

Senet-i: An approach for detecting network intrusions through serialized network traffic images

YA Farrukh, S Wali, I Khan, ND Bastian - Engineering Applications of …, 2023 - Elsevier
The exponential growth of the internet and inter-connectivity has resulted in an extensive
increase in network size and the corresponding data, which has led to numerous novel …

Detection of malware by deep learning as CNN-LSTM machine learning techniques in real time

MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
Cyber-attacks on the numerous parts of today's fast developing IoT are only going to
increase in frequency and severity. A reliable method for detecting malicious attacks such as …

Cybersecurity challenges in the age of AI: theoretical approaches and practical solutions

BT Familoni - Computer Science & IT Research Journal, 2024 - fepbl.com
In the ever-evolving landscape of cybersecurity, the proliferation of artificial intelligence (AI)
technologies introduces both promising advancements and daunting challenges. This paper …

[PDF][PDF] An examination of machine learning in the process of data integration

S Rangineni, D Marupaka… - International Journal of …, 2023 - researchgate.net
Some of the challenges of real-world machine learning and data analysis are discussed,
and solutions are offered. Although using data-driven approaches in industrial and …

Artificial intelligence (AI) cybersecurity dimensions: a comprehensive framework for understanding adversarial and offensive AI

M Malatji, A Tolah - AI and Ethics, 2024 - Springer
Abstract As Artificial Intelligence (AI) rapidly advances and integrates into various domains,
cybersecurity emerges as a critical field grappling with both the benefits and pitfalls of AI …

A Review of Artificial Intelligence (Ai) Challenges and Future Prospects of Explainable Ai in Major Fields: A Case Study of Nigeria

K Mohammed, A Shehu - Open Journal of Physical …, 2023 - openjournalsnigeria.org.ng
Artificial intelligence (AI) has been used widely in essential fields such as energy, health,
agriculture, finance etc. However, Artificial intelligence is still faced with social, ethical, legal …

Explainable AI for Cybersecurity

SR Sindiramutty, CE Tan, SP Lau… - … in Explainable AI …, 2024 - igi-global.com
In recent years, the utilization of AI in the field of cybersecurity has become more
widespread. Black-box AI models pose a significant challenge in terms of interpretability and …

The Role of Artificial Intelligence in Enhancing Cybersecurity and Internal Audit

S Dambe, S Gochhait, S Ray - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This paper aims to investigate how artificial intelligence (AI) can improve cybersecurity and
internal audit practices. In today's world, organizations are facing an increasing number of …