Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods

YL Khaleel, MA Habeeb, AS Albahri… - Journal of Intelligent …, 2024 - degruyter.com
This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

T Ige, C Kiekintveld, A Piplai - arXiv preprint arXiv:2402.17249, 2024 - arxiv.org
The ever-evolving ways attacker continues to im prove their phishing techniques to bypass
existing state-of-the-art phishing detection methods pose a mountain of challenges to …

Future Trends and Challenges in Cybersecurity and Generative AI

A Khan, N Jhanjhi, DHH Hamid… - … With Generative AI …, 2025 - igi-global.com
The chapter presents a comprehensive exploration of the changing dynamics at the
intersection between the rapidly growing landscape of the interconnectivity of various …

[PDF][PDF] Optimal Cyber Attack Strategy Using Reinforcement Learning Based on Common Vulnerability Scoring System

BS Kim, HW Suk, YH Choi, DS Moon, MS Kim - 2024 - cdn.techscience.cn
Currently, cybersecurity threats such as data breaches and phishing have been on the rise
due to the many different attack strategies of cyber attackers, significantly increasing risks to …

Phishing Detection Using Hybrid Machine learning Techniques

RGM Helali - Zhongguo Kuangye Daxue Xuebao, 2024 - zkdx.ch
Cyber security has become a crucial component of the new digital age with more than 820
million users of internet in year 2023 and social media users are expected to reach 82.3 …

Strategi Efektif dalam Meningkatkan Kesadaran Keamanan Siber terhadap Ancaman Phishing di Lingkungan Perusahaan PT. XYZ

B Wibowo, T Hidayat - Jurnal Pengabdian Masyarakat …, 2025 - ejournal.sultanpublisher.com
Penelitian ini bertujuan untuk mengevaluasi strategi efektif dalam meningkatkan kesadaran
keamanan siber terhadap ancaman phishing di lingkungan organisasi. Menggunakan …

. Enhancement and Development of an Algorithm for Predicting Cyber Threats in the Era of the Internet of things

AIA El-Shora - التجارة والتمويل, 2024‎ - journals.ekb.eg
In the era of the Internet of Things (IoT), rising cybersecurity concerns driven by the
interconnected nature of IoT networks require innovative and proactive defense …

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

C Kiekintveld, A Piplai - philpapers.org
The ever-evolving ways attacker continues to improve their phishing techniques to bypass
existing state-of-the-art phishing detection methods pose a mountain of challenges to …

[PDF][PDF] The Scientific Journal of Business and Finance

AIA El-Shora - caf.journals.ekb.eg
In the era of the Internet of Things (IoT), rising cybersecurity concerns driven by the
interconnected nature of IoT networks require innovative and proactive defense …

[HTML][HTML] Adaptive Phishing Detection Systems Using Online Learning Methods

M Rahaman - insights2techinfo.com
Phishing attacks are a major danger to anyone who use the internet, so it is important to
have strong and flexible detection systems in place to effectively reduce these risks …