A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning
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 increase in cyberattacks. Among them, Distributed Denial of Service (DDoS) attacks are …
Impact of feature selection methods on machine learning-based for detecting DDoS attacks: Literature review
Cybersecurity attacks are becoming increasingly sophisticated and increasing with the
development of technology so that they present threats to both the private and public …
development of technology so that they present threats to both the private and public …
DDoS attack detection and mitigation using deep neural network in SDN environment
In the contemporary digital landscape, the escalating threat landscape of cyber attacks,
particularly distributed denial-of-service (DDoS) attacks, has become a paramount concern …
particularly distributed denial-of-service (DDoS) attacks, has become a paramount concern …
Towards effective detection of recent DDoS attacks: A deep learning approach
I Ortet Lopes, D Zou, FA Ruambo… - Security and …, 2021 - Wiley Online Library
Distributed Denial of Service (DDoS) is a predominant threat to the availability of online
services due to their size and frequency. However, developing an effective security …
services due to their size and frequency. However, developing an effective security …
Enhancing the efficiency of gaussian naïve bayes machine learning classifier in the detection of ddos in cloud computing
Distributed Denial of services is one of the most dangerously planned attacks in cloud
computing, resulting in huge losses of data and money for both the cloud services providers …
computing, resulting in huge losses of data and money for both the cloud services providers …
SSK-DDoS: distributed stream processing framework based classification system for DDoS attacks
Distributed denial of service (DDoS) is an immense threat for Internet based-applications
and their resources. It immediately floods the victim system by transmitting a large number of …
and their resources. It immediately floods the victim system by transmitting a large number of …
Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks
AA Najar, SM Naik - Computers & Security, 2024 - Elsevier
Abstract Software Defined Networking (SDN) has become popular due to its flexibility and
agility in network management, enabling rapid adaptation to changing business …
agility in network management, enabling rapid adaptation to changing business …
KS-DDoS: Kafka streams-based classification approach for DDoS attacks
A distributed denial of service (DDoS) attack is the most destructive threat for internet-based
systems and their resources. It stops the execution of victims by transferring large numbers …
systems and their resources. It stops the execution of victims by transferring large numbers …
On improving the performance of DDoS attack detection system
Abstract A DDoS (Distributed Denial of Service) attack is a harmful way of preventing regular
access to a targeted machine, resources, or any network by flooding the target or its …
access to a targeted machine, resources, or any network by flooding the target or its …
Intelligent software defined networking: long short term memory‐graded rated unit enabled block‐attack model to tackle distributed denial of service attacks
MM Jagtap, RD Saravanan - Transactions on Emerging …, 2022 - Wiley Online Library
Software defined networking (SDN) is the next‐generation network. SDN enhances the
programming flexibility, speed and automation to improve the network's performance. In …
programming flexibility, speed and automation to improve the network's performance. In …