Results 31 to 40 of about 76,134 (287)
Resilience in the Cyberworld: Definitions, Features and Models
Future Internet, 2021 Resilience is a feature that is gaining more and more attention in computer science and computer engineering. However, the definition of resilience for the cyber landscape, especially embedded systems, is not yet clear.
Elisabeth Vogel +3 more
doaj +1 more source
Multi-Layer Cyber-Physical Security and Resilience for Smart Grid
, 2018 The smart grid is a large-scale complex system that integrates communication technologies with the physical layer operation of the energy systems. Security and resilience mechanisms by design are important to provide guarantee operations for the system ...
CH Hauser +19 more
core +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced 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
IEEE AccessThe 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 Threat to Cyber Resilience : A Malware Rebirthing Botnet [PDF]
, 2011 This paper presents a threat to cyber resilience in the form of a conceptual model of a malware rebirthing botnet which can be used in a variety of scenarios. It can be used to collect existing malware and rebirth it with new functionality and signatures
Brand, Murray +2 more
core +2 more sources
Quantification of the Impact of Cyber Attack in Critical Infrastructures [PDF]
, 2014 In this paper we report on a recent study of the impact of cyber-attacks on the resilience of complex industrial systems. We describe our approach to building a hybrid model consisting of both the system under study and an Adversary, and we demonstrate ...
Netkachov, A., Popov, P. T., Salako, K.
core +1 more source
Advanced Intelligent Systems, EarlyView.OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Data in BriefWe 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
GeoIntelligence: Data Mining Locational Social Media Content for Profiling and Information Gathering [PDF]
, 2011 The current social media landscape has resulted in a situation where people are encouraged to share a greater amount of information about their day-to-day lives than ever before.
Baatard, Gregory, Hannay, Peter
core +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source