DDoS attacks detection method using feature importance and support vector machine

A Sanmorino, R Gustriansyah… - JUITA: Jurnal …, 2022 - jurnalnasional.ump.ac.id
In this study, the author wants to prove the combination of feature importance and support
vector machine relevant to detecting distributed denial-of-service attacks. A distributed …

Development of hyper‐parameter‐tuned‐recurrent neural network for detection and mitigation of fraudulent resource consumption attack in cloud

SM Rubai - Transactions on Emerging Telecommunications …, 2023 - Wiley Online Library
Cloud computing is a paradigm that acts as an emerging technology with the intent of
multimedia. Nevertheless, multimedia computing faces a financial burden. The essential …

Transfer Learning with CNN-LSTM for detection of Cardiac Events in Arrhythmia Disease

S Arora, S Kaur, A Bhardwaj - 2023 Seventh International …, 2023 - ieeexplore.ieee.org
Every year, a significant number of individuals lose their lives to a catastrophic heart
condition referred to as Sudden Cardiac Arrest (SCA), often caused by Arrhythmia …

Automated Denial of Service Detection Using Moth Flame Optimization With Machine Learning in Cloud Environment

A Thillaivanan, SR Wategaonkar… - … and Systems for …, 2023 - ieeexplore.ieee.org
Denial of Service (DoS) attack detection refers to preventing and detecting malicious
attempts to make network resources or services unavailable to its intended users. DoS …

Κατανεμημένες επιθέσεις άρνησης υπηρεσιών στο Διαδίκτυο των Πραγμάτων

Μ Μάγγου - 2021 - polynoe.lib.uniwa.gr
Η παρούσα διπλωματική εργασία ασχολείται με το ΙοΤ-(Διαδίκτυο των Πραγμάτων) και τις
DDoS επιθέσεις–(Κατανεμημένη Άρνηση Υπηρεσιών) που δέχεται, καθώς και με ποιους …

[PDF][PDF] Recognising Client-side Behavioral Detection of Web Bots

M Jansen, E Poll, IH Jonker - 2021 - cs.ru.nl
To prevent data stealing, many websites use techniques to detect automated visitors.
Collectively, such techniques are called web bot detection. There are, generally speaking …