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 …

RTCS: An Improved Real-Time Credibility-based Intrusion Detection System

C Zhang, Z Lian, H Huang, C Su - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) connects physical devices to the Internet via open
communication protocols. Malicious actors can exploit vulnerabilities to steal data or …

Intelligent Customer Behaviour Analysis in the Norwegian Market

K Brathovde, Y Djenouri, A Yazidi… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Market basket analysis identifies item patterns in data, commonly used in retail to
understand customer shopping habits and inform business decisions. Challenges arise with …

[PDF][PDF] A Sequential Pattern Mining Method for the Individualized Detection of Online Banking Fraudulent Transactions

G Abbas - PatternIQ Mining, 2024 - piqm.saharadigitals.com
Financial institutions are facing a growing number of challenges as a result of the growth in
fraudulent activities in online banking, which calls for the implementation of systems that are …

A Dynamic Sandbox Detection Technique in a Private Cloud Environment

Z Yang, J Xiao - Scalable Computing: Practice and Experience, 2024 - scpe.org
In specific private cloud scenarios, how to defend against malicious software and ensure
data security is one of the current research hotspots, and sandbox is an important detection …

Розроблення структури інформаційної бази експертної системи виявлення інсайдерських кіберзагроз у банках

ГМ Яровенко, КЮ Петренко, ЮВ Ульяновська… - Академічні …, 2023 - academy-vision.org
Анотація Стійке зростання кіберзагроз у банківській сфері свідчить про те, що
фінансові установи стають особливою мішенню для атак. Роль інсайдерів у цьому …