Intelligent dynamic malware detection using machine learning in IP reputation for forensics data analytics
In the near future, objects have to connect with each other which can result in gathering
private sensitive data and cause various security threats and cyber crimes. To prevent cyber …
private sensitive data and cause various security threats and cyber crimes. To prevent cyber …
[HTML][HTML] Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk …
Multiple governmental agencies and private organisations have made commitments for the
colonisation of Mars. Such colonisation requires complex systems and infrastructure that …
colonisation of Mars. Such colonisation requires complex systems and infrastructure that …
Asset criticality and risk prediction for an effective cybersecurity risk management of cyber-physical system
Risk management plays a vital role in tackling cyber threats within the cyber-physical system
(CPS). It enables identifying critical assets, vulnerabilities and threats and determining …
(CPS). It enables identifying critical assets, vulnerabilities and threats and determining …
Yapay zeka odaklı siber risk ve güvenlik yönetimi
A Efe - Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar …, 2021 - dergipark.org.tr
Yapay zekayı (YZ) ve makine öğrenimini siber güvenlik için silahlandırmak hala erken
aşamalarda olsa da büyük ölçekli firmalar ve kuruluşlar, güvenlik sistemlerini ve …
aşamalarda olsa da büyük ölçekli firmalar ve kuruluşlar, güvenlik sistemlerini ve …
[HTML][HTML] Modelling of smart risk assessment approach for cloud computing environment using AI & supervised machine learning algorithms
A Sharma, UK Singh - Global Transitions Proceedings, 2022 - Elsevier
Major backbone of today's competitive and upcoming market is definitely becoming Cloud
computing & hence corporate utilize capabilities of cloud computing services. To improve …
computing & hence corporate utilize capabilities of cloud computing services. To improve …
{HDDse}: Enabling {High-Dimensional} Disk State Embedding for Generic Failure Detection System of Heterogeneous Disks in Large Data Centers
The reliability of a storage system is crucial in large data centers. Hard disks are widely used
as primary storage devices in modern data centers, where disk failures constantly happen …
as primary storage devices in modern data centers, where disk failures constantly happen …
[HTML][HTML] Sialog: detecting anomalies in software execution logs using the siamese network
Detecting anomalies in software logs has become a notable concern for software engineers
and maintainers as they represent anomalies in software execution paths and states. This …
and maintainers as they represent anomalies in software execution paths and states. This …
An ECG-based authentication system using Siamese neural networks
Purpose Biometric systems are becoming increasingly important in today's society. The
Electrocardiogram signal proves a suitable contender for such systems thanks to its …
Electrocardiogram signal proves a suitable contender for such systems thanks to its …
Partial resampling of imbalanced data
Imbalanced data is a frequently encountered problem in machine learning. Despite a vast
amount of literature on sampling techniques for imbalanced data, there is a limited number …
amount of literature on sampling techniques for imbalanced data, there is a limited number …
Integrated cybersecurity for metaverse systems operating with artificial intelligence, blockchains, and cloud computing
P Radanliev - Frontiers in Blockchain, 2024 - frontiersin.org
In the ever-evolving realm of cybersecurity, the increasing integration of Metaverse systems
with cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, and Cloud …
with cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, and Cloud …