Results 41 to 50 of about 2,773 (206)

METHODS FOR CALCULATION OF SELF-SHIELDED CROSS SECTIONS OF FULLY CERAMIC MICRO-ENCAPSULATED FUEL DOUBLE HETEROGENEOUS SYSTEM [PDF]

open access: yesEPJ Web of Conferences, 2021
Fully ceramic micro-encapsulated (FCM) fuel is a kind of fuel that employs tri-structural isotropic (TRISO) particles to enhance safety. The FCM fuel assembly is a double heterogeneous system.
He Qingming   +5 more
doaj   +1 more source

Development of an in vitro method for activation of X-succinate synthases for fumarate hydroalkylation

open access: yesiScience, 2023
Summary: Anaerobic microbial degradation of hydrocarbons is often initiated through addition of the hydrocarbon to fumarate by enzymes known as X-succinate synthases (XSSs).
Mary C. Andorfer   +4 more
doaj   +1 more source

Web Vulnerability Through Cross Site Scripting (XSS) Detection with OWASP Security Shepherd

open access: yesIndonesian Journal of Information Systems, 2021
Web applications are needed as a solution to the use of internet technology that can be accessed globally, capable of displaying information that is rich in content, cost effective, easy to use and can also be accessed by anyone, anytime and anywhere. In
Ripto Mukti Wibowo, Aruji Sulaksono
doaj   +1 more source

Statically Identifying XSS using Deep Learning

open access: yesProceedings of the 18th International Conference on Security and Cryptography, 2021
Cross-site Scripting (XSS) is ranked first in the top 25 Most Dangerous Software Weaknesses (2020) of Common Weakness Enumeration (CWE) and places this vulnerability as the most dangerous among programming errors. In this work, we explore static approaches to detect XSS vulnerabilities using neural networks.
Héloïse Maurel   +2 more
openaire   +4 more sources

Enhancing Security of Web-Based IoT Services via XSS Vulnerability Detection

open access: yesSensors, 2023
The Internet of Things (IoT) technology is experiencing significant growth and integration into various aspects of daily life. With the rising number of connected devices, diverse security challenges are emerging as substantial threats to IoT. Cross-Site
Jemin Kim, Joonseok Park
doaj   +1 more source

Analisis Keamanan pada Aplikasi Her-registrasi Online Mahasiswa Universitas Diponegoro

open access: yesJurnal Teknologi dan Sistem Komputer, 2016
The security aspect is often forgotten in the application of Information Technology. The attacks were caused by the negligence of the developer causes damage to the system used. SQL Injection attacks, Cross Site Scripting attacks, and no use of encrypted
Hilal Afrih Juhad   +2 more
doaj   +1 more source

Automating Subthalamic Deep Brain Stimulation Programming with Evoked Resonant Neural Activity in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Optimal outcomes from subthalamic nucleus deep brain stimulation (STN‐DBS) for Parkinson's disease (PD) depend on accurate stimulation of an ideal functional target within the dorsolateral STN. Clinical programming is heuristic, and objective methods are needed to improve efficiency and consistency.
Kanae J. Nagao   +9 more
wiley   +1 more source

HTTP Security Headers Analysis of Several Macedonian Website Categories [PDF]

open access: yesComputer Science Journal of Moldova
The present research focuses on the security of Macedonian websites. It involves the analysis of HTTP Security header responses for 756 websites in the country, of which 246 are the most popular.
Aleksandra Mileva   +3 more
doaj   +1 more source

Identification of a virulence tal gene in the cotton pathogen, Xanthomonas citri pv. malvacearum strain Xss-V2–18

open access: yesBMC Microbiology, 2020
Background Bacterial blight of cotton (BBC), which is caused by the bacterium Xanthomonas citri pv. malvacearum (Xcm), is a destructive disease in cotton.
Fazal Haq   +11 more
doaj   +1 more source

Enterprise Network Security Using Few‐Shot Meta‐Learning

open access: yesArtificial Intelligence for Engineering, EarlyView.
This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain   +4 more
wiley   +1 more source

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