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A real-time machine-learning model for detecting and mitigating DDoS attacks
CybersecurityDenial of Service (DoS) and Distributed Denial of Service (DDoS) attacks are among the most lethal cyber threats in this world, which make an online service unavailable to its legitimate users by overwhelming the service provider’s resources.
Mohammad Fathian, Alireza Seifousadati
doaj +1 more source
The Arabian journal for science and engineering, 2018 Distributed denial of service (DDoS) attacks are one of the most important attacks due to reducing the performance of computer networks nowadays. In recent years, the number of devices connected to the internet has been increasing.
Sinan Toklu, Mehmet Şimşek
semanticscholar +1 more source
A Study of DDOS (Distributed-denial-of- service) Attacks and Its Preventions
International Journal of Scientific Research in Science, Engineering and Technology, 2020 <p>The data security is one of the most important themes in the information World. Cloud Computing is a grooving technology and implemented by many companies, but there are many issues and one of them is DDOS. .The DDOS attack is one of the most Threatening attacks in today’s world.
Tripathi, Bhawna +2 more
openaire +2 more sources
2022 Tenth International Conference on Advanced Cloud and Big Data (CBD)
, 2023 In an existing study by Positive Technologies, researchers simulated a Distributed Denial of Service (DDoS) attack on User Equipment (UE). The goal was to test the impact of a Distributed Denial of Service attack by studying the Diameter signaling ...
Khan, Danish +2 more
core +1 more source
ANALISIS STATISTIK LOG JARINGAN UNTUK DETEKSI SERANGAN DDOS BERBASIS NEURAL NETWORK
Ilkom Jurnal Ilmiah, 2016 Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi.
Arif Wirawan Muhammad
doaj +1 more source
Access Control in Healthcare IoT: A Comprehensive Survey
Engineering Reports, Volume 8, Issue 4, April 2026.This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir +3 more
wiley +1 more source
Deteksi Serangan DDoS Menggunakan Neural Network dengan Fungsi Fixed Moving Average Window
JISKA (Jurnal Informatika Sunan Kalijaga), 2017 Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi.
Arif Wirawan Muhammad +2 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 447-463, April 2026.ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
, 2020 The problem of identifying Distributed Denial of Service (DDos) attacks is fundamentally a classification problem in machine learning. In relevance to Cloud Computing, the task of identification of DDoS attacks is a significantly challenging problem ...
Lakshmeeswari Gondi, Swathi Sambangi
core +1 more source
Securing Home Automation against distributed denial of service attack [PDF]
, 2021 As information technologies advance at a rapid pace, the possibility of an attack keeps growing. One of the most complicated security problems to fix is distributed denial of service (DDoS).
Mhatre, Anurag Nitin
core +1 more source