Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions

A Habbal, MK Ali, MA Abuzaraida - Expert Systems with Applications, 2024 - Elsevier
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …

FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA (MKPCA) with Nyström approximation

AR Khan, SS Ahamad, S Mishra, MAR Khan… - Scientific Reports, 2024 - nature.com
With the swift advancement of technology and growing popularity of internet in business and
communication, cybersecurity posed a global threat. This research focuses new Deep …

[图书][B] Manajemen Pertahanan: Telaah Ancaman dalam Membangun Postur Pertahanan 2045

ST Sri Yanto, AAB Perwita, M Susanto, IH Dewanto… - 2024 - books.google.com
Buku" Manajemen Pertahanan: Telaah Ancaman dalam Membangun Postur Pertahanan
2045" merupakan sebuah panduan lengkap yang mengulas tentang pentingnya …

[HTML][HTML] Forensic Investigation Capabilities of Microsoft Azure: A Comprehensive Analysis and Its Significance in Advancing Cloud Cyber Forensics

Z Morić, V Dakić, A Kapulica, D Regvart - Electronics, 2024 - mdpi.com
This article delves into Microsoft Azure's cyber forensic capabilities, focusing on the unique
challenges in cloud security incident investigation. Cloud services are growing in popularity …

[引用][C] Securing financial data storage: A review of cybersecurity challenges and solutions

CC Okoye, EE Nwankwo… - International …, 2024 - International Journal of Science and …

Comparative Analysis of Machine Learning Techniques for DDoS Intrusion Detection in IoT Environments

G Chukwukelu, A Essien… - 21st International …, 2024 - research-information.bris.ac.uk
This study addresses the challenge of Distributed Denial of Service (DDoS) attacks in the
Internet of Things (IoT) environment by evaluating the effectiveness of Intrusion Detection …

Anomaly-Based Intrusion Detection System for IoT Environment Using Machine Learning

A Patil, D Machale, D Goswami, P Muley… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
IoT solutions have the potential to revolutionize our work and daily lives by providing the
valuable data and insights. From enhancing the safety of roads, automobiles, and houses to …

Analytical Study of Artificial Intelligence for Data Security of Investment for Custodian Bankers

A Jadhav - Authorea Preprints, 2024 - techrxiv.org
This study would help to understand how artificial intelligence (AI) can benefit custodian
banks in investment management and data security. In this work, we explore some of the …

[PDF][PDF] The potential of quantum cryptography in enhancing cybersecurity measures and mitigating cyber threats in IT infrastructure

W Arif - researchgate.net
This research paper aims to understand how quantum cryptography can improve ICT
security and protect against cyber risks. With the help of the introduced CIC IDS 2017 …