Distributed denial of service (DDoS) mitigation using blockchain—A comprehensive insight

S Wani, M Imthiyas, H Almohamedh, KM Alhamed… - Symmetry, 2021 - mdpi.com
Distributed Denial of Service (DDoS) attack is a major threat impeding service to legitimate
requests on any network. Although the first DDoS attack was reported in 1996, the …

A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning

RK Batchu, H Seetha - Computer Networks, 2021 - Elsevier
In the digital era, the usage of network-connected devices is rapidly growing which leads to
an increase in cyberattacks. Among them, Distributed Denial of Service (DDoS) attacks are …

An efficient and robust deep learning based network anomaly detection against distributed denial of service attacks

Ö Kasim - Computer Networks, 2020 - Elsevier
The number of devices connected to the Internet is increasing day by day. This increase
causes cyber-attacks to be larger and more complex. It is important to sdetect the anomalies …

Optimal feature selection with CNN-feature learning for DDoS attack detection using meta-heuristic-based LSTM

VRS Dora, VN Lakshmi - International Journal of Intelligent Robotics and …, 2022 - Springer
Nowadays, the digital era is reshaped by new technologies, and the cyber-attacks are more
sophisticated and becoming as a commonplace. The distributed denial of service (DDoS) …

An online entropy-based DDoS flooding attack detection system with dynamic threshold

LD Tsobdjou, S Pierre… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Distributed denial of service attacks are cyber-attacks that target the availability of servers.
As a result, legitimate users no longer have access to the service. This can have a negative …

A hybrid detection system for DDoS attacks based on deep sparse autoencoder and light gradient boost machine

RK Batchu, H Seetha - Journal of Information & Knowledge …, 2023 - World Scientific
In the internet era, network-based services and connected devices are growing with many
users, thus it became an increase in the number of cyberattacks. Distributed Denial of …

Real-time detection schemes for memory DoS (M-DoS) attacks on cloud computing applications

U Islam, A Al-Atawi, HS Alwageed, M Ahsan… - IEEE …, 2023 - ieeexplore.ieee.org
Memory Denial of Service (M-DoS) attacks refer to a class of cyber-attacks that aim to
exhaust the memory resources of a system, rendering it unavailable to legitimate users. This …

Deep learning-based early stage detection (DL-ESD) for routing attacks in Internet of Things networks

M Albishari, M Li, R Zhang, E Almosharea - The Journal of …, 2023 - Springer
Security represents one of the main critical issues in the Internet of Things (IoT), especially
the routing attacks in the core network where the loss of information becomes very harmful …

Review on distributed denial of service attack detection in software defined network

P Karthika, A Karmel - International Journal of Wireless and …, 2023 - inderscienceonline.com
This paper has shown the enhancement of networks, and the ability to withstand DDoS
attacks. Thus, this survey plans to make a review on 65 papers which concern DDoS attack …

Memcached: an experimental study of DDoS attacks for the wellbeing of IoT applications

N Mishra, S Pandya, C Patel, N Cholli, K Modi, P Shah… - Sensors, 2021 - mdpi.com
Distributed denial-of-service (DDoS) attacks are significant threats to the cyber world
because of their potential to quickly bring down victims. Memcached vulnerabilities have …