Machine Learning Techniques for Detecting DDOS Attacks
MM Saeed, HNR Mohammed… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
The development witnessed by the world of science and technology and the emergence of
the Internet, where cybersecurity has become one of the most important areas that are …
the Internet, where cybersecurity has become one of the most important areas that are …
The classification of DDoS attacks using deep learning techniques
Distributed Denial of Service (DDoS) is a wellknown attack with the power of damage. The
process of DDoS is to disrupt the normal traffic of a targeted server by overwhelming it with a …
process of DDoS is to disrupt the normal traffic of a targeted server by overwhelming it with a …
DDoS detection using information gain feature selection and random forest classifier
S Mandala, AI Ramadhan, M Rosalinda… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Advances in technology and the rapid development of the internet have created more
opportunities for hackers to obtain information and data, creating the need to protect more …
opportunities for hackers to obtain information and data, creating the need to protect more …
A meta-evaluation of machine learning techniques for detection of DDoS attacks
N Jyoti, S Behal - 2021 8th International Conference on …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service Attack (DDoS) is a dynamic challenge in the field of network
security. These attacks ban legitimate users from utilizing network resources as per their …
security. These attacks ban legitimate users from utilizing network resources as per their …
Defensive mechanism against DDoS attack based on feature selection and multi-classifier algorithms
Distributed denial of service attacks are common and very severe threat to various
computing technology like Cloud, IoT and Blockchain because of the disruption they cause …
computing technology like Cloud, IoT and Blockchain because of the disruption they cause …
Distributed denial of service (DDoS) attacks detection: A machine learning approach
P Singh Samom, A Taggu - Applied Soft Computing and Communication …, 2021 - Springer
Providing a secure communication environment is one of the greatest problem on the
Internet. Distributed Denial of Service (DDoS) attacks are rapidly becoming a challenge to …
Internet. Distributed Denial of Service (DDoS) attacks are rapidly becoming a challenge to …
HCTDDA: Hybrid Classification Technique for Detection of DDoS Attacks
Today attackers are turning to mobile and Internet of Things (IoT) technologies to diversify
and strengthen DDoS Attacks. Many methods exist for detecting different types of DDoS …
and strengthen DDoS Attacks. Many methods exist for detecting different types of DDoS …
Detection of DDoS attacks using machine learning classification algorithms
KB Dasari, N Devarakonda - International Journal of …, 2022 - search.proquest.com
The Internet is the most essential tool for communication in today's world. As a result, cyber-
attacks are growing more often, and the severity of the consequences has risen as well …
attacks are growing more often, and the severity of the consequences has risen as well …
Analysis and detection of DDoS attacks on cloud computing environment using machine learning techniques
AR Wani, QP Rana, U Saxena… - 2019 Amity International …, 2019 - ieeexplore.ieee.org
The primary benefit of the cloud is that it elastically scales to meet variable demand and it
provides the environment which scales up and scales down instantly according to the …
provides the environment which scales up and scales down instantly according to the …
Detecting DDoS attacks using a cascade of machine learning classifiers based on Random Forest and MLP-ANN
T Pinto, Y Sebastian - 2021 IEEE Madras Section Conference …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks are one of the most versatile and powerful
cyber-attack that has remarkably grown in sophistication, throughput as well as bandwidth …
cyber-attack that has remarkably grown in sophistication, throughput as well as bandwidth …