Results 131 to 140 of about 2,792,578 (290)
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
JPEG image tampering detection based on blocking artifacts [PDF]
In the modern world, digital images play very important role in areas like insurance processing, intelligence services, surveillance systems and forensic investigation. After the advent of the digital medium, image forgery has become a threat. In today’s
Ebrahimi, Ali
core
Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
Watermarking for tamper detection and recovery
Park, Youngran +3 more
openaire +2 more sources
ABSTRACT Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL), a secure and domain‐agnostic framework that ...
Zhihao Hao +5 more
wiley +1 more source
For over a century, anthropologists have documented the many institutions that exist to respond to witchcraft and the uncanny that it names: oracles that attempt to produce certainty by naming the witch; moots in which grievances are aired; trials in magistrates’ courts that attempt to satisfy the community while preserving the life of the accused ...
Chloe Nahum‐Claudel
wiley +1 more source
ABSTRACT During the years of the US occupation (1912–33), Nicaragua's government legally regulated prostitution. Convinced of their objectives to protect society's moral and public health, politicians embarked on a long struggle to apprehend, quarantine, and segregate female prostitutes nationwide.
Eimeel Castillo
wiley +1 more source

