Results 101 to 110 of about 22,416 (307)

Attack Analysis Framework for Cyber-Attack and Defense Test Platform

, 2020
In 2012, Google first proposed the knowledge graph and applied it in the field of intelligent searching. Subsequently, knowledge graphs have been used for in-depth association analysis in different fields.
Rong Jiang, Yan Jia, Yulu Qi, Aiping Li
core   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

kickyy/Risk-Informed-Performance-Based-Methods-for-Cyber-Attack-on-Nuclear-Power-Facilities: Risk-Informed Performance-Based Methods for Cyber Attack on Nuclear Power Facilities

<p>Initial Release of scripts used to demonstrate the method researched in the paper, "Risk-Informed Performance-Based Methods for Cyber Attack on Nuclear Power Facilities", by Andrew Gisondi and Camille Palmer of Oregon State University.&
kickyy
core   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Beyond political risk: Toward a holistic understanding of multinational enterprise resilience in the era of cascading crises

Global Strategy Journal, EarlyView.
Abstract Research Summary This article develops a conceptual framework for understanding multinational enterprise (MNE) resilience in the era of cascading crises. We define resilience as the MNE's capacity to absorb disruption, maintain or restore functioning, and reconfigure operations as conditions shift.
Gerard George, Chang Hoon Oh
wiley   +1 more source

Model-Based Detection of Coordinated Attacks (DCA) in Distribution Systems

IEEE Open Access Journal of Power and Energy
The fast-paced growth in digitization of smart grid components enhances system observability and remote-control capabilities through efficient communication.
Nitasha Sahani, Chen-Ching Liu
doaj   +1 more source

Geopolitics and global strategy: Making money under anarchy

Global Strategy Journal, EarlyView.
Abstract Research Summary Multinational firms conduct cross‐border trade and investment in a world of anarchy, where nation‐states must secure their survival in the absence of a world government. We develop a geopolitical‐economic order (GEO) framework to argue that the extent of geopolitical competition incentivizes states to create one of two types ...
Daniel J. Blake, Srividya Jandhyala, Quan Li   +2 more
wiley   +1 more source

Evaluating impact of remote-access cyber-attack on lane changes for connected automated vehicles

Digital Communications and Networks
Connected automated vehicles (CAVs) rely heavily on intelligent algorithms and remote sensors. If the control center or on-board sensors are under cyber-attack due to the security vulnerability of wireless communication, it can cause significant damage ...
Changyin Dong, Yujia Chen, Hao Wang, Leizhen Wang, Ye Li, Daiheng Ni, De Zhao, Xuedong Hua   +7 more
doaj   +1 more source

DeeBBAA: A Benchmark Deep Black Box Adversarial Attack Against Cyber-Physical Power Systems

Cyber-physical infrastructure faces threats from evasive false data injection attacks that can significantly impact their security and performance. Adversarial attacks are a popular evasive false data injection threat model that generally targets AI/ML ...
Tushar, W, Saha, TK, Bhattacharjee, A, Mishra, S, Verma, A, Bai, G   +5 more
core   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source