Results 91 to 100 of about 1,363,692 (325)

Cyber Attacks

, 2007
Information systems (computers and networks) are increasingly the targets of attacks ranging from vandalism to serious crimes (Richardson, 2003). Since government systems are valuable resources for a society, it is important to protect them from such attacks.
openaire   +2 more sources

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

A Colonel Blotto Game for Interdependence-Aware Cyber-Physical Systems Security in Smart Cities

, 2017
Smart cities must integrate a number of interdependent cyber-physical systems that operate in a coordinated manner to improve the well-being of the city's residents. A cyber-physical system (CPS) is a system of computational elements controlling physical
Ferdowsi, Aidin, Maham, Behrouz, Mandayam, Narayan B., Saad, Walid   +3 more
core   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Distributed Hierarchical Controller Resilience Analysis in Islanded Microgrid Under Cyber-Attacks

International Transactions on Electrical Energy Systems
In islanded microgrid configurations, synchronization of distributed generators (DGs) becomes imperative. Achieving synchronization and control necessitates the establishment of communication links.
Abdollah Mirzabeigi, Ali Kalantarnia, Negin Zarei   +2 more
doaj   +1 more source

Contemporary Trends in Economic Cybersecurity

Мир новой экономики, 2019
This paper is devoted to the analysis of modern trends in economic cybersecurity. We analysed the dynamics of cyber-attacks over the past five years and, particularly, pointed on the main trends of 2018 year.
Yu. Yu. Shitova, Yu. A. Shitov
doaj   +1 more source

Wireless ICS Training Platform [PDF]

, 2019
Indiana University - Purdue University IndianapolisEssential public services, such as Electric, Water and Gas Utilities, are becoming increasingly reliant on network connected devices to control their processes. Wireless control systems are becoming more
Cassandra Boman, Nick Pohlman
core  

Likelihood of Cyber Data Injection Attacks to Power Systems

, 2015
Cyber data attacks are the worst-case interacting bad data to power system state estimation and cannot be detected by existing bad data detectors. In this paper, we for the first time analyze the likelihood of cyber data attacks by characterizing the ...
Chow, Joe, Hao, Yingshuai, Wang, Meng
core   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source