[HTML][HTML] Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Byzantine machine learning: A primer
The problem of Byzantine resilience in distributed machine learning, aka, Byzantine
machine learning, consists in designing distributed algorithms that can train an accurate …
machine learning, consists in designing distributed algorithms that can train an accurate …
[HTML][HTML] Global digital convergence: Impact of cybersecurity, business transparency, economic transformation, and AML efficiency
The article substantiates the existence of convergence processes in the field of digitization of
countries, taking into account the number of Internet users; people with advanced skills; and …
countries, taking into account the number of Internet users; people with advanced skills; and …
[HTML][HTML] Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies
Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
[HTML][HTML] An intelligent context-aware threat detection and response model for smart cyber-physical systems
Smart cities, businesses, workplaces, and even residences have all been converged by the
Internet of Things (IoT). The types and characteristics of these devices vary depending on …
Internet of Things (IoT). The types and characteristics of these devices vary depending on …
Siber Güvenlikte Yapay Zekanın Rolü ve Önemi: Bir Derleme
Yapay zeka teknolojileri, siber güvenlik de dahil olmak üzere birçok alanı kapsamaktadır.
Siber güvenliğin temel amacı; bilişim sistemlerini bilgisayar korsanları tarafından …
Siber güvenliğin temel amacı; bilişim sistemlerini bilgisayar korsanları tarafından …
[HTML][HTML] Combining Markov and Semi-Markov modelling for assessing availability and cybersecurity of cloud and IoT systems
V Kharchenko, Y Ponochovnyi, O Ivanchenko… - Cryptography, 2022 - mdpi.com
This paper suggests a strategy (C5) for assessing cloud and IoT system (CIS) dependability,
availability, and cybersecurity based on the continuous collection, comparison, choice, and …
availability, and cybersecurity based on the continuous collection, comparison, choice, and …
Deep learning technology of computer network security detection based on artificial intelligence
Q Liu, T Zhang - Computers and Electrical Engineering, 2023 - Elsevier
With the continuous progress of the information age and science and technology, how to
combine complex and changeable data with self-protection ability has become an urgent …
combine complex and changeable data with self-protection ability has become an urgent …
[HTML][HTML] CybAttT: A Dataset of Cyberattack News Tweets for Enhanced Threat Intelligence
The continuous developments in information technologies have resulted in a significant rise
in security concerns, including cybercrimes, unauthorized access, and cyberattacks …
in security concerns, including cybercrimes, unauthorized access, and cyberattacks …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …