Results 71 to 80 of about 4,651 (188)
Adaptive Ensemble Machine Learning Framework for Proactive Blockchain Security
Blockchain technology has rapidly evolved beyond cryptocurrencies, underpinning diverse applications such as supply chains, healthcare, and finances, yet its security vulnerabilities remain a critical barrier to safe adoption.
Babatomiwa Omonayajo +2 more
doaj +1 more source
Datasheets for machine learning sensors
Abstract Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse applications ranging from anomaly detection in industrial settings to wildlife tracking for conservation efforts.
Matthew Stewart +14 more
wiley +1 more source
The emergence and widespread use of low-orbit satellite communication systems has become one of the triggers for the development of the Internet of Vehicles (IoV) technology.
Igor Anatolyevich Kalmykov +4 more
doaj +1 more source
Beyond the European Army Illusion: A Prudent Strategy for the Real European Zeitenwende
JCMS: Journal of Common Market Studies, EarlyView.
Benjamin Daßler, Moritz Weiss
wiley +1 more source
Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform
ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior +3 more
wiley +1 more source
Cyber-physical systems (CPSs) are considered a new era of complex systems that harness the integration of computational and physical capabilities to facilitate interactions between humans via different mediums, creating systems that are smarter and more ...
Mohammed Amir +3 more
doaj +1 more source
Higher education institutions (HEIs) are increasingly becoming vulnerable to cyberattacks as they adopt digital technologies to support their administrative, research and academic activities.
Oladele Afolalu, Mohohlo Samuel Tsoeu
doaj +1 more source
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool +7 more
wiley +1 more source
ABSTRACT Geopolitical uncertainties and the resurgence of security and defence needs present both opportunities and challenges for creativity and innovation management. At both the organizational and the individual levels, we are confronted with multiple ethically challenging choices. Given the changing global security and defence realities, we outline
Mette Præst Knudsen +4 more
wiley +1 more source
A Machine Learning-Based Framework for Measuring Attack Surfaces of IoT Systems
With the increasing demand for utilizing IoT devices in many cases, in recent years, a great risk raises as many of those devices will be vulnerable to many types of cyberattacks.
Bandar M. Alshammari
doaj +1 more source

