[HTML][HTML] Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

AR Al-Ghuwairi, Y Sharrab, D Al-Fraihat… - Journal of Cloud …, 2023 - Springer
The growth of cloud computing is hindered by concerns about privacy and security. Despite
the widespread use of network intrusion detection systems (NIDS), the issue of false …

Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)

S Namasudra, RG Crespo, S Kumar - 2022 - dl.acm.org
Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
| Computers and Electrical Engineering skip to main content ACM Digital Library home ACM …

A review on lexical based malicious domain name detection methods

C Hamroun, A Amamou, K Haddadou… - Annals of …, 2024 - Springer
Nowadays, domain names are becoming crucial digital assets for any business. However,
the media never stopped reporting phishing and identity theft attacks held by third-party …

[HTML][HTML] Use of subword tokenization for domain generation algorithm classification

SRC Liew, NF Law - Cybersecurity, 2023 - Springer
Abstract Domain name generation algorithm (DGA) classification is an essential but
challenging problem. Both feature-extracting machine learning (ML) methods and deep …

Demystification of Generative Artificial Intelligence (AI) Literacy, Algorithmic Thinking, Cognitive Divide, Pedagogical knowledge: A Comprehensive Model

M Dadhich, A Bhaumik - … on ICT in Business Industry & …, 2023 - ieeexplore.ieee.org
This study aims to demystify Generative AI literacy and algorithmic thinking while addressing
higher education's cognitive divide and pedagogical knowledge. A survey-based approach …

BotDetector: a system for identifying DGA-based botnet with CNN-LSTM

X Zang, J Cao, X Zhang, J Gong, G Li - Telecommunication Systems, 2024 - Springer
Botnets are one of the major threats to network security nowadays. To carry out malicious
actions remotely, they heavily rely on Command and Control channels. DGA-based botnets …

Word encoding for word-looking DGA-based Botnet classification

SRC Liew, NF Law - 2023 Asia Pacific Signal and Information …, 2023 - ieeexplore.ieee.org
There are two main types of domain name-generating algorithms (DGAs)–random-looking
and word-looking. While existing methods can effectively distinguish between the two types …

Credit Scoring mit Random Forest: exemplarische Analyse der Wichtigkeit von einzelnen Einflussfaktoren zur Evaluation der Kreditwürdigkeit beim durch Machine …

C Gisin - 2022 - digitalcollection.zhaw.ch
Die Anwendung von zunehmend komplexeren Machine-Learning-Modellen verbessert im
Allgemeinen zwar die Vorhersagegenauigkeit, geht jedoch mit einer anwachsenden …

[PDF][PDF] Facultad de Ingeniería

FAP Orellana - 2015 - dspace.ucuenca.edu.ec
Con la constante evolución de las redes de telecomunicaciones y el aumento exponencial
del tráfico en Internet, es necesario prevenir ataques informáticos cada vez más …

[引用][C] Deep Learning Models for Online Monitoring of Anaerobic Digestion with a Few Electrochemical Sensors

R Jia, YC Song, DM Piao, KT Kim, CY Lee, J Park - Available at SSRN 4151351