Network traffic behavioral analytics for detection of DDoS attacks
AD Lopez, AP Mohan, S Nair - SMU data science review, 2019 - scholar.smu.edu
As more organizations and businesses in different sectors are moving to a digital
transformation, there is a steady increase in malware, facing data theft or service …
transformation, there is a steady increase in malware, facing data theft or service …
Network prediction with traffic gradient classification using convolutional neural networks
Current TCP/IP network infrastructures and management systems are facing a tough time in
handling the unusual increase in network traffic due to the surge of typical real-time …
handling the unusual increase in network traffic due to the surge of typical real-time …
PhD Forum: Data traffic classification using deep learning models
MM Raikar - 2021 IEEE 22nd international symposium on a …, 2021 - ieeexplore.ieee.org
The growth in data traffic is exponential with the usage of network applications in mundane
activities. The network operators are posed with the challenge of providing Quality of …
activities. The network operators are posed with the challenge of providing Quality of …
A comparative study of binary class logistic regression and shallow neural network for ddos attack prediction
In the area of internet security, cybersecurity is a serious subject. Every industry is
witnessing thousands of cyberattacks every year. Among the most deadly cyber-attacks are …
witnessing thousands of cyberattacks every year. Among the most deadly cyber-attacks are …
[PDF][PDF] Security Analysis of DDoS Attacks Using Machine Learning Algorithms in Networks Traffic. Electronics 2021, 10, 2919
RJ Alzahrani, A Alzahrani - 2021 - academia.edu
The recent advance in information technology has created a new era named the Internet of
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
Development Application for Traffic Classification Using the Neural Network Approach
A Boyko, V Varkentin… - 2020 International Multi …, 2020 - ieeexplore.ieee.org
Currently, the number of DDoS attacks on devices connected to the Internet has significantly
increased. As a part of a study there was implemented an application that classifies network …
increased. As a part of a study there was implemented an application that classifies network …
DDoS attack detection and mitigation in SDN using machine learning
F Khashab, J Moubarak, A Feghali… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
Software Defined Networking (SDN) is a networking paradigm that has been very popular
due to its advantages over traditional networks with regard to scalability, flexibility, and its …
due to its advantages over traditional networks with regard to scalability, flexibility, and its …
DDoS Attacks Detection Using a Deep Neural Network Model
M Mittal, K Kumar, S Behal - International Advanced Computing …, 2022 - Springer
In today's world of globalization, with the exponential increase in the use of Internet-based
services, there is also an increase in network traffic and a huge risk of hacking and cyber …
services, there is also an increase in network traffic and a huge risk of hacking and cyber …
[PDF][PDF] Monitoring and Filtering Traffic Data using Big Data Analysis for DDoS
HK Bawa, S Gupta - bvicam.in
As technology continues to advance rapidly, the graph of cybercrime has seen an
exponential rise. To counter cyber-attacks such as Distributed Denial of Service, the chosen …
exponential rise. To counter cyber-attacks such as Distributed Denial of Service, the chosen …
Delay prediction in IoT using machine learning approach
AR Abdellah, OA Mahmood… - 2020 12th International …, 2020 - ieeexplore.ieee.org
The combination of 5G, artificial intelligence, and the Internet of Things will have a great
impact on future generations of wireless networks. Internet of Things (IoT) is expected to …
impact on future generations of wireless networks. Internet of Things (IoT) is expected to …