Machine learning in cybersecurity: a comprehensive survey
Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
Online diagnosis of performance variation in HPC systems using machine learning
As the size and complexity of high performance computing (HPC) systems grow in line with
advancements in hardware and software technology, HPC systems increasingly suffer from …
advancements in hardware and software technology, HPC systems increasingly suffer from …
A FKPCA-GWO WDBiLSTM classifier for intrusion detection system in cloud environments
TV Geetha, AJ Deepa - Knowledge-Based Systems, 2022 - Elsevier
Due to the expansion of Internet traffic and threats in the cloud environment, intrusion
detection is becoming more challenging. Attackers may try to exploit various application …
detection is becoming more challenging. Attackers may try to exploit various application …
Attacks and intrusion detection in cloud computing using neural networks and particle swarm optimization algorithms
Today, cloud computing has become popular among users in organizations and companies.
Security and efficiency are the two major issues facing cloud service providers and their …
Security and efficiency are the two major issues facing cloud service providers and their …
Prodigy: Towards unsupervised anomaly detection in production hpc systems
Performance variations caused by anomalies in modern High Performance Computing
(HPC) systems lead to decreased efficiency, impaired application performance, and …
(HPC) systems lead to decreased efficiency, impaired application performance, and …
[HTML][HTML] Unsupervised packet-based anomaly detection in virtual networks
D Spiekermann, J Keller - Computer Networks, 2021 - Elsevier
The enormous number of network packets transferred in modern networks together with the
high speed of transmissions hamper the implementation of successful IT security …
high speed of transmissions hamper the implementation of successful IT security …
Albadross: Active learning based anomaly diagnosis for production hpc systems
Diagnosing causes of performance variations in High-Performance Computing (HPC)
systems is a daunting chal-lenge due to the systems' scale and complexity. Variations in …
systems is a daunting chal-lenge due to the systems' scale and complexity. Variations in …
E2EWatch: an end-to-end anomaly diagnosis framework for production HPC systems
Abstract In today's High-Performance Computing (HPC) systems, application performance
variations are among the most vital challenges as they adversely affect system efficiency …
variations are among the most vital challenges as they adversely affect system efficiency …
A real-time machine learning application for browser extension security monitoring
TP Fowdur, S Hosenally - Information Security Journal: A Global …, 2024 - Taylor & Francis
One of the most common attacks in browser extensions is Cross-site scripting (XSS). To
address these challenges, several browsers have proposed a new mechanism where …
address these challenges, several browsers have proposed a new mechanism where …
A data-driven preprocessing scheme on anomaly detection in big data applications
Efficient anomaly detection mechanisms are becoming an urgent and critical topic in the
presence of big data applications. In this paper, we propose a data-driven preprocessing …
presence of big data applications. In this paper, we propose a data-driven preprocessing …