Results 41 to 50 of about 144,780 (287)
Predicting Cyber Events by Leveraging Hacker Sentiment
, 2018 Recent high-profile cyber attacks exemplify why organizations need better cyber defenses. Cyber threats are hard to accurately predict because attackers usually try to mask their traces.
Deb, Ashok +2 more
core +1 more source
Cyber–physical risk modeling with imperfect cyber-attackers
Electric Power Systems Research, 2022 We model the risk posed by a malicious cyber-attacker seeking to induce grid insecurity by means of a load redistribution attack, while explicitly acknowledging that such an actor would plausibly base its decision strategy on imperfect information. More specifically, we introduce a novel formulation for the cyber-attacker's decision-making problem and ...
Efthymios Karangelos, Louis Wehenkel
openaire +3 more sources
Advanced Intelligent Systems, EarlyView.A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu +6 more
wiley +1 more source
Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid
, 2018 Malicious attacks in the power system can eventually result in a large-scale cascade failure if not attended on time. These attacks, which are traditionally classified into \emph{physical} and \emph{cyber attacks}, can be avoided by using the latest and ...
Chung, Hwei-Ming +5 more
core +1 more source
International Journal of Engineering and Advanced Technology, 2019 Malware may be a threat to the users WHO are victimization pc regardless that in operation systems and hardware platforms that they're victimization. Ms Windows is that the hottest software package and {also the} quality also create it the foremost favorite platform to be attacked by the adversaries.
null Srivalli, Laxmi Prasanna
openaire +1 more source
Advanced Intelligent Systems, EarlyView.This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Journal of Advanced Transportation, 2020 CAV (connected and autonomous vehicle) is a crucial part of intelligent transportation systems. CAVs utilize both sensors and communication components to make driving decisions.
Qiyi He, Xiaolin Meng, Rong Qu
doaj +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
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
A Survey on Machine-Learning Based Security Design for Cyber-Physical Systems
Applied Sciences, 2021 A cyber-physical system (CPS) is the integration of a physical system into the real world and control applications in a computing system, interacting through a communications network.
Sangjun Kim, Kyung-Joon Park
doaj +1 more source