Results 71 to 80 of about 70,877 (265)
Legacy ICS Cybersecurity Assessment Using Hybrid Threat Modeling—An Oil and Gas Sector Case Study
As security breaches are increasingly widely reported in today’s culture, cybersecurity is gaining attention on a global scale. Threat modeling methods (TMM) are a proactive security practice that is essential for pinpointing risks and limiting their ...
Mohamed Badawy +2 more
doaj +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
Optimal Defense Strategies Against Ransomware With Quantum Acceleration
This paper presents a comprehensive mathematical framework for modeling ransomware propagation and control across networked systems. We develop an eight-compartment model that captures the sequential stages of ransomware attacks: initial infection ...
Mohammad Ababneh +2 more
doaj +1 more source
Interfacial Failure and Self‐Healing in Solid‐State Batteries
Dynamic interfacial self‐healing offers an adaptive route to mitigate coupled mechanical, chemical, and electrochemical degradation in solid‐state batteries. This review connects evolving interfacial failure mechanisms with physical‐flow, chemical‐restoration, stimuli‐responsive, and electric‐field‐assisted repair strategies, highlighting targeted self‐
Xinxin Zhu +8 more
wiley +1 more source
Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood +7 more
wiley +1 more source
Threat Modeling: A Developer’s Approach
Abstract— Threat modeling is a process of identifying vulnerabilities during the design phase, where security engineers identify these vulnerabilities by analyzing data flow diagrams (DFD) and/or sequence flow diagrams (SFD). In this research paper we will be talking about real-time test cases and possible methodologies of identifying vulnerabilities ...
Mohanty, Dinesh Kumar +1 more
openaire +2 more sources
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A Knowledge-Driven Approach to Threat Validation and Security Reasoning in Modular Systems
Modular systems are increasingly employed in critical application domains such as healthcare, smart cities, and Industry 4.0 platforms, where dynamic integration of components poses substantial challenges in ensuring consistent and secure operation ...
Laura Pandolfo +3 more
doaj +1 more source
Threat Modeling for Communication Security of IoT-Enabled Digital Logistics. [PDF]
Junejo AK, Breza M, McCann JA.
europepmc +1 more source
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi +8 more
wiley +1 more source

