[HTML][HTML] Dissecting zero trust: research landscape and its implementation in IoT

C Liu, R Tan, Y Wu, Y Feng, Z Jin, F Zhang, Y Liu, Q Liu - Cybersecurity, 2024 - Springer
As a progressive security strategy, the zero trust model has attracted notable attention and
importance within the realm of network security, especially in the context of the Internet of …

[HTML][HTML] Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration

A Nazir, J He, N Zhu, A Wajahat, F Ullah… - Journal of King Saud …, 2024 - Elsevier
Ensuring robust security in the Internet of Things (IoT) landscape is of paramount
importance. This research article presents a novel approach to enhance IoT security by …

OPTIMIZING INCIDENT RESPONSE IN CLOUD SECURITY WITH AI AND BIG DATA INTEGRATION

AK ReddyAyyadapu - Chelonian Research Foundation, 2023 - acgpublishing.com
This study investigates how to combine big data analytics and artificial intelligence (AI) to
optimize incident response in cloud security. Strong security measures are becoming …

Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence

SR Sindiramutty - arXiv preprint arXiv:2401.00286, 2023 - arxiv.org
The evolution of cybersecurity has spurred the emergence of autonomous threat hunting as
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …

[PDF][PDF] An Innovative Approach Using TKN-Cryptology for Identifying the Replay Assault

SW Zahra, M Nadeem, A Arshad, S Riaz… - … Materials & Continua, 2024 - cdn.techscience.cn
Various organizations store data online rather than on physical servers. As the number of
user's data stored in cloud servers increases, the attack rate to access data from cloud …

Future Horizons: AI-Enhanced Threat Detection in Cloud Environments: Unveiling Opportunities for Research

H Arif, A Kumar, M Fahad… - International Journal of …, 2023 - jurnal.itscience.org
In this extensive and comprehensive review paper, we delve into the dynamic landscape of
artificial intelligence (AI)-enhanced threat detection within cloud environments. The …

Indoor Air Quality Detection Using Hybrid Machine Learning Techniques

M Akhter, S Muneer, S Khan - Journal of NCBAE, 2023 - jncbae.com
The neutral of this study is to prevent asthma by detecting air quality in indoor environments
using machine learning techniques. To achieve this, the study collected 11,757 samples …

[PDF][PDF] Diabetes Prediction Empowered with Multi-level Data Fusion and Machine Learning

G Bassam, A Rouai, R Ahmad… - International Journal of …, 2023 - researchgate.net
Technology improvements have benefited the medical industry, especially in the area of
diabetes prediction. In order to find patterns and risk factors related to diabetes, machine …

Blockchain-based Soft Drinks Supply Chain Traceability by using Hash Algorithm

M Bilal, MU Kamran - Journal of NCBAE, 2023 - jncbae.com
Blockchain in store network the executives are relied upon to blast over the course of the
following five years. It is assessed that the worldwide blockchain store network market would …

Noise detection in the Linux kernel by using Workload

FF Kamran, MU Kamran - Journal of NCBAE, 2023 - jncbae.com
As current organization framework moves from equipment based to programming based
utilizing Organization Capability Virtualization, another arrangement of necessities is raised …