Results 31 to 40 of about 7,023 (258)

Resilience Assessment of the State Estimation Software under Cyber Attacks

open access: yesE3S Web of Conferences, 2018
Taking into account Smart Grid creation, cyber security appears as critical problem. In spite of wide set of technical tools and organisational decisions, which use for protection of electrical objects against cyber attacks, it is impossible to prevent ...
Voropai Nikolai   +2 more
doaj   +1 more source

Cancellable Speaker Credentials Under Template Exposure

open access: yesIEEE Access
Deep neural speaker embeddings enable accurate voice authentication; however, they introduce a fundamental limitation: once biometric templates are compromised, they cannot be reissued like passwords or cryptographic keys.
Oyebode Oluwatobi Oyewale   +2 more
doaj   +1 more source

Extensive Review of Threat Models for DevSecOps

open access: yesIEEE Access
Amidst the rising tide of cyber threats, the software industry is gravitating toward the widespread adoption of DevSecOps as a crucial defense strategy.
S Nagasundari   +3 more
doaj   +1 more source

Cyber Resilience Analytics For Cyber-Physical Systems

open access: yes, 2022
Cyber-physical systems (CPSs) are complex systems that evolve from the integrations of components dealing with physical processes and real-time computations, along with networking. CPSs often incorporate approaches merging from different scientific fields such as embedded systems, control systems, operational technology, information technology systems (
openaire   +3 more sources

Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys

open access: yesAdvanced Science, EarlyView.
ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu   +8 more
wiley   +1 more source

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

open access: yesAIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu   +5 more
wiley   +1 more source

FedFusion: Adaptive Model Fusion for Addressing Feature Discrepancies in Federated Credit Card Fraud Detection

open access: yesIEEE Access
The digitization of financial transactions has led to a rise in credit card fraud, necessitating robust measures to secure digital financial systems from fraudsters.
Nahid Ferdous Aurna   +4 more
doaj   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni   +11 more
wiley   +1 more source

The MongoDB injection dataset: A comprehensive collection of MongoDB - NoSQL injection attempts and vulnerabilities

open access: yesData in Brief
We present the ‘NoSQL Injection Dataset for MongoDB, a comprehensive collection of data obtained from diverse projects focusing on NoSQL attacks on MongoDB databases.In the present era, we can classify databases into three main types: structured, semi ...
Rameshwar D․ L․   +3 more
doaj   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

open access: yesAdvanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

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