Results 101 to 110 of about 6,379 (277)
RedAI: A machine learning approach to cyber threat intelligence [PDF]
The world is continually demanding more effective and intelligent solutions and strategies to combat adversary groups across the cyber defense landscape.
Noel, Luke
core +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
NLP-based techniques for Cyber Threat Intelligence
In the digital era, threat actors employ sophisticated techniques for which, often, digital traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to all the solutions inherent to data collection, processing, and analysis useful to understand a threat actor's targets and attack behavior.
Marco Arazzi +6 more
openaire +2 more sources
Cyber threats in financial transactions: addressing the dual challenge of AI and quantum computing [PDF]
The financial sector faces escalating cyber threats amplified by artificial intelligence (AI) and the advent of quantum computing. AI is being weaponized for sophisticated attacks like deepfakes and AI-driven malware, while quantum computing threatens to
Elmisery, Ahmed M. +4 more
core
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
CyberEntRel: Joint Extraction of Cyber Entities and Relations using Deep Learning [PDF]
The cyber threat intelligence (CTI) knowledge graph is beneficial for making robust defense strategies for security professionals. These are built from cyber threat intelligence data based on relation triples where each relation triple contains two ...
Khurshid, Syed Khaldoon +2 more
core +2 more sources
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
Modeling Cyber Threat Intelligence
Siri Bromander +4 more
openaire +1 more source
A New Perspective and Model Proposal for Cyber Threat Intelligence after Pager Attacks
This study explores the September 2024 pager attacks on Hezbollah as a case study to propose an expanded model for Cyber Threat Intelligence (CTI) within the framework of hybrid warfare.
Tuncay Doğantuna, Onur Ceran
doaj +1 more source
ABSTRACT Load‐frequency control (LFC) comprises a primary process in interconnected electrical power systems, playing a critical role in maintaining the stability and reliability of the electrical grid. It is of paramount importance that the designed controller functions in an optimal manner, particularly with regard to the compression of area ...
Bora Çavdar +2 more
wiley +1 more source

